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Luc Van Gool

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affiliation: ETH Zurich, Computer Vision Lab, Switzerland
affiliation: KU Leuven, Center for Processing Speech and Images (PSI-VISICS), Belgium

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2020 – today

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2025
[j208]
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Juan Wen, Shupeng Cheng, Weiyan Hou, Luc Van Gool, Radu Timofte:
When super-resolution meets camouflaged object detection: A comparison study. Comput. Vis. Image Underst. 253: 104321 (2025)
[j207]
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Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation. IEEE Trans. Pattern Anal. Mach. Intell. 47(3): 1578-1593 (2025)
[j206]
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Lei Sun, Daniel Gehrig, Christos Sakaridis, Mathias Gehrig, Jingyun Liang, Peng Sun, Zhijie Xu, Kaiwei Wang, Luc Van Gool, Davide Scaramuzza:
A Unified Framework for Event-Based Frame Interpolation With Ad-Hoc Deblurring in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 2265-2279 (2025)
[j205]
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  - journals/pami/SakaridisBYG25
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Christos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool:
Condition-Invariant Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 3111-3125 (2025)
[j204]
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  - journals/ral/BrodermannSFG25
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Tim Brödermann, Christos Sakaridis, Yuqian Fu, Luc Van Gool:
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes. IEEE Robotics Autom. Lett. 10(4): 3134-3141 (2025)
[c915]
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  - conf/aaai/KhattakNNGT25
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Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Muzammal Naseer, Luc Van Gool, Federico Tombari:
Learning to Prompt with Text Only Supervision for Vision-Language Models. AAAI 2025: 4230-4238
[c914]
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  - conf/aaai/PanLFMLPGH25
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Jiancheng Pan, Yanxing Liu, Yuqian Fu, Muyuan Ma, Jiahao Li, Danda Pani Paudel, Luc Van Gool, Xiaomeng Huang:
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community. AAAI 2025: 6281-6289
[i537]
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  - journals/corr/abs-2501-08900
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Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Enhanced Multi-Scale Cross-Attention for Person Image Generation. CoRR abs/2501.08900 (2025)
[i536]
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  - journals/corr/abs-2501-08982
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Qi Ma, Runyi Yang, Bin Ren, Nicu Sebe, Ender Konukoglu, Luc Van Gool, Danda Pani Paudel:
CityLoc: 6DoF Pose Distributional Localization for Text Descriptions in Large-Scale Scenes with Gaussian Representation. CoRR abs/2501.08982 (2025)
[i535]
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  - journals/corr/abs-2501-18401
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Juan Wen, Weiyan Hou, Luc Van Gool, Radu Timofte:
MatIR: A Hybrid Mamba-Transformer Image Restoration Model. CoRR abs/2501.18401 (2025)
[i534]
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  - journals/corr/abs-2502-03227
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Pierre-François De Plaen, Tinne Tuytelaars, Marc Proesmans, Luc Van Gool:
Adversarial Dependence Minimization. CoRR abs/2502.03227 (2025)
[i533]
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  - journals/corr/abs-2502-10012
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Asen Nachkov, Danda Pani Paudel, Jan-Nico Zaech, Davide Scaramuzza, Luc Van Gool:
Dream to Drive: Model-Based Vehicle Control Using Analytic World Models. CoRR abs/2502.10012 (2025)
[i532]
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  - journals/corr/abs-2502-20110
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Luigi Piccinelli, Christos Sakaridis, Yung-Hsu Yang, Mattia Segù, Siyuan Li, Wim Abbeloos, Luc Van Gool:
UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler. CoRR abs/2502.20110 (2025)
[i531]
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  - journals/corr/abs-2503-16096
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Lucas Morin, Valéry Weber, Ahmed S. Nassar, Gerhard Ingmar Meijer, Luc Van Gool, Yawei Li, Peter W. J. Staar:
MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures. CoRR abs/2503.16096 (2025)
[i530]
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  - journals/corr/abs-2503-16591
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Luigi Piccinelli, Christos Sakaridis, Mattia Segù, Yung-Hsu Yang, Siyuan Li, Wim Abbeloos, Luc Van Gool:
UniK3D: Universal Camera Monocular 3D Estimation. CoRR abs/2503.16591 (2025)
[i529]
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  - journals/corr/abs-2503-18016
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Xu Zheng, Ziqiao Weng, Yuanhuiyi Lyu, Lutao Jiang, Haiwei Xue, Bin Ren, Danda Pani Paudel, Nicu Sebe, Luc Van Gool, Xuming Hu:
Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook. CoRR abs/2503.18016 (2025)
[i528]
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  - journals/corr/abs-2503-18052
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Yue Li, Qi Ma, Runyi Yang, Huapeng Li, Mengjiao Ma, Bin Ren, Nikola Popovic, Nicu Sebe, Ender Konukoglu, Theo Gevers, Luc Van Gool, Martin R. Oswald, Danda Pani Paudel:
SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining. CoRR abs/2503.18052 (2025)
2024
[j203]
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  - journals/access/SunLSWXWG24
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Lei Sun, Yun Liu, Guolei Sun, Min Wu, Zhijie Xu, Kaiwei Wang, Luc Van Gool:
Global and Compact Video Context Embedding for Video Semantic Segmentation. IEEE Access 12: 135589-135600 (2024)
[j202]
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  - journals/ijautcomp/FanBCG24
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Deng-Ping Fan, Nick Barnes, Ming-Ming Cheng, Luc Van Gool:
Editorial for Special Issue on Multi-modal Representation Learning. Mach. Intell. Res. 21(4): 615-616 (2024)
[j201]
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  - journals/ijautcomp/SunLPPPG24
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Guolei Sun, Yun Liu, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Luc Van Gool:
Rethinking Global Context in Crowd Counting. Mach. Intell. Res. 21(4): 640-651 (2024)
[j200]
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  - journals/ijautcomp/LiuWSZCG24
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Yun Liu, Yu-Huan Wu, Guolei Sun, Le Zhang, Ajad Chhatkuli, Luc Van Gool:
Vision Transformers with Hierarchical Attention. Mach. Intell. Res. 21(4): 670-683 (2024)
[j199]
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  - journals/ijcv/JainKG24
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Nishant Jain, Suryansh Kumar, Luc Van Gool:
Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images. Int. J. Comput. Vis. 132(4): 1310-1335 (2024)
[j198]
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  - journals/ijcv/NaeemXGT24
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Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer+: Learning Image to Document Summary Attention for Zero-Shot Image Classification. Int. J. Comput. Vis. 132(9): 3806-3822 (2024)
[j197]
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  - journals/jstsp/ObukhovUSSG24
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Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool:
TT-NF: Tensor Train Neural Fields. IEEE J. Sel. Top. Signal Process. 18(6): 1024-1035 (2024)
[j196]
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  - journals/pami/HoyerDG24
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Lukas Hoyer, Dengxin Dai, Luc Van Gool:
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 220-235 (2024)
[j195]
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Wenguan Wang, Guolei Sun, Luc Van Gool:
Looking Beyond Single Images for Weakly Supervised Semantic Segmentation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1635-1649 (2024)
[j194]
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Jiahua Dong, Hongliu Li, Yang Cong, Gan Sun, Yulun Zhang, Luc Van Gool:
No One Left Behind: Real-World Federated Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2054-2070 (2024)
[j193]
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Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Graph Transformer GANs With Graph Masked Modeling for Architectural Layout Generation. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4298-4313 (2024)
[j192]
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Guolei Sun, Yun Liu, Henghui Ding, Min Wu, Luc Van Gool:
Learning Local and Global Temporal Contexts for Video Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6919-6934 (2024)
[j191]
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Hui Wei, Hao Tang, Xuemei Jia, Zhixiang Wang, Hanxun Yu, Zhubo Li, Shin'ichi Satoh, Luc Van Gool, Zheng Wang:
Physical Adversarial Attack Meets Computer Vision: A Decade Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9797-9817 (2024)
[j190]
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Bowen Yin, Xuying Zhang, Deng-Ping Fan, Shaohui Jiao, Ming-Ming Cheng, Luc Van Gool, Qibin Hou:
CamoFormer: Masked Separable Attention for Camouflaged Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10362-10374 (2024)
[j189]
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  - journals/tcsv/YanHSTZDGZ24
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Qingsen Yan, Tao Hu, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang:
Toward High-Quality HDR Deghosting With Conditional Diffusion Models. IEEE Trans. Circuits Syst. Video Technol. 34(5): 4011-4026 (2024)
[j188]
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  - journals/tip/LiangCFZRLTG24
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Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. IEEE Trans. Image Process. 33: 2171-2182 (2024)
[c913]
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  - conf/accv/RenMPWLLCGS24
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Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe:
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-supervised Learning. ACCV (7) 2024: 56-75
[c912]
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  - conf/cvpr/Cheng0GK24
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Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko:
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. CVPR 2024: 2274-2284
[c911]
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  - conf/cvpr/PaskalevaHIMGP24
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Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed, Luc Van Gool, Danda Pani Paudel:
A Unified and Interpretable Emotion Representation and Expression Generation. CVPR 2024: 2447-2456
[c910]
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  - conf/cvpr/CaoSZZTG24
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Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
Deep Equilibrium Diffusion Restoration with Parallel Sampling. CVPR 2024: 2824-2834
[c909]
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  - conf/cvpr/GuoFLSG24
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Diandian Guo, Deng-Ping Fan, Tongyu Lu, Christos Sakaridis, Luc Van Gool:
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes. CVPR 2024: 3544-3553
[c908]
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  - conf/cvpr/AnS0LWWGB24
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Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge J. Belongie:
Rethinking Few-shot 3D Point Cloud Semantic Segmentation. CVPR 2024: 3996-4006
[c907]
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Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Continuous Pose for Monocular Cameras in Neural Implicit Representation. CVPR 2024: 5291-5301
[c906]
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  - conf/cvpr/Thiry0TG22
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Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool:
Towards Online Real-Time Memory-based Video Inpainting Transformers. CVPR Workshops 2024: 6035-6044
[c905]
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  - conf/cvpr/MotamedGG22
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Saman Motamed, Wouter Van Gansbeke, Luc Van Gool:
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models. CVPR Workshops 2024: 7406-7415
[c904]
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Rui Li, Tobias Fischer, Mattia Segù, Marc Pollefeys, Luc Van Gool, Federico Tombari:
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning. CVPR 2024: 9848-9858
[c903]
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  - conf/cvpr/PiccinelliYSSLG24
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Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu:
UniDepth: Universal Monocular Metric Depth Estimation. CVPR 2024: 10106-10116
[c902]
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  - conf/cvpr/PascaGHKMGHW24
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Razvan-George Pasca, Alexey Gavryushin, Muhammad Hamza, Yen-Ling Kuo, Kaichun Mo, Luc Van Gool, Otmar Hilliges, Xi Wang:
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation. CVPR 2024: 18286-18296
[c901]
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  - conf/cvpr/LiKDPSG024
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Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu:
Matching Anything by Segmenting Anything. CVPR 2024: 18963-18973
[c900]
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  - conf/cvpr/WuZRV0PGT24
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Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
Single-Model and Any-Modality for Video Object Tracking. CVPR 2024: 19156-19166
[c899]
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  - conf/cvpr/LisoSYGO24
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Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, Martin R. Oswald:
Loopy-SLAM: Dense Neural SLAM with Loop Closures. CVPR 2024: 20363-20373
[c898]
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  - conf/cvpr/FleppITG24
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Roman Flepp, Andrey Ignatov, Radu Timofte, Luc Van Gool:
Real-World Mobile Image Denoising Dataset with Efficient Baselines. CVPR 2024: 22368-22377
[c897]
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  - conf/cvpr/ZhaoB0ZZXCTG24
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Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool:
Equivariant Multi-Modality Image Fusion. CVPR 2024: 25912-25921
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Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc Van Gool:
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. CVPR 2024: 26191-26201
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Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Martin Danelljan, Luc Van Gool:
SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking. ECCV (27) 2024: 1-18
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Mattia Segù, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele:
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs. ECCV (8) 2024: 1-18
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Tim Brödermann, David Brüggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool:
MUSES: The Multi-sensor Semantic Perception Dataset for Driving Under Uncertainty. ECCV (59) 2024: 21-38
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Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari:
SILC: Improving Vision Language Pretraining with Self-distillation. ECCV (21) 2024: 38-55
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Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan:
MoVideo: Motion-Aware Video Generation with Diffusion Model. ECCV (44) 2024: 56-74
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Ozan Unal, Christos Sakaridis, Luc Van Gool:
Bayesian Self-training for Semi-supervised 3D Segmentation. ECCV (56) 2024: 89-107
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Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov:
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. ECCV (39) 2024: 91-109
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Saman Motamed, Danda Pani Paudel, Luc Van Gool:
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models. ECCV (15) 2024: 116-133
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Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang:
PALM: Predicting Actions through Language Models. ECCV (82) 2024: 140-158
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Ozan Unal, Christos Sakaridis, Suman Saha, Luc Van Gool:
Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding. ECCV (76) 2024: 196-213
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Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari:
Self-supervised Shape Completion via Involution and Implicit Correspondences. ECCV (58) 2024: 212-229
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Yuqian Fu, Yu Wang, Yixuan Pan, Lian Huai, Xingyu Qiu, Zeyu Shangguan, Tong Liu, Yanwei Fu, Luc Van Gool, Xingqun Jiang:
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector. ECCV (58) 2024: 247-264
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Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari:
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. ECCV (39) 2024: 257-275
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Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool:
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. ECCV (39) 2024: 329-346
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Ada-Astrid Balauca, Danda Pani Paudel, Kristina Toutanova, Luc Van Gool:
Taming CLIP for Fine-Grained and Structured Visual Understanding of Museum Exhibits. ECCV (76) 2024: 377-394
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool:
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. ICML 2024
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Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu:
Lightweight Image Super-Resolution via Flexible Meta Pruning. ICML 2024
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Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool:
Image Fusion via Vision-Language Model. ICML 2024
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Junru Lin, Asen Nachkov, Songyou Peng, Luc Van Gool, Danda Pani Paudel:
Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM. IROS 2024: 7929-7936
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Zhuyun Zhou, Zongwei Wu, Danda Pani Paudel, Rémi Boutteau, Fan Yang, Luc Van Gool, Radu Timofte, Dominique Ginhac:
Event-Free Moving Object Segmentation from Moving Ego Vehicle. IROS 2024: 8960-8965
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Qi Ma, Danda Pani Paudel, Ender Konukoglu, Luc Van Gool:
Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes. NeurIPS 2024
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Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe:
Sharing Key Semantics in Transformer Makes Efficient Image Restoration. NeurIPS 2024
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  - conf/siggraph/BortsLBRWPSBSGB24
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David Borts, Erich Liang, Tim Broedermann, Andrea Ramazzina, Stefanie Walz, Edoardo Palladin, Jipeng Sun, David Brüggemann, Christos Sakaridis, Luc Van Gool, Mario Bijelic, Felix Heide:
Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar. SIGGRAPH (Conference Paper Track) 2024: 130
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Saad Himmi, Vincent Parret, Ajad Chhatkuli, Luc Van Gool:
MS-EVS: Multispectral event-based vision for deep learning based face detection. WACV 2024: 605-614
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Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Martin Danelljan, Luc Van Gool:
StyleGenes: Discrete and Efficient Latent Distributions for GANs. WACV 2024: 4065-4074
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Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova:
Beyond SOT: Tracking Multiple Generic Objects at Once. WACV 2024: 6812-6822
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Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Contrastive Learning for Multi-Object Tracking with Transformers. WACV 2024: 6853-6863
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Giuliano Albanese, Arka Mitra, Jan-Nico Zaech, Yupeng Zhao, Ajad Chhatkuli, Luc Van Gool:
Optimizing Long-Term Robot Tracking with Multi-Platform Sensor Fusion. WACV 2024: 6977-6987
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Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool:
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. WACV 2024: 7321-7330
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  - journals/corr/abs-2401-02418
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Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Muzammal Naseer, Luc Van Gool, Federico Tombari:
Learning to Prompt with Text Only Supervision for Vision-Language Models. CoRR abs/2401.02418 (2024)
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Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer, Edo Collins, Alessio Tonioni, Luc Van Gool, Federico Tombari:
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes. CoRR abs/2401.05335 (2024)
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  - journals/corr/abs-2401-07721
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Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool:
Graph Transformer GANs with Graph Masked Modeling for Architectural Layout Generation. CoRR abs/2401.07721 (2024)
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Tim Brödermann, David Brüggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool:
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty. CoRR abs/2401.12761 (2024)
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Diandian Guo, Deng-Ping Fan, Tongyu Lu, Christos Sakaridis, Luc Van Gool:
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes. CoRR abs/2401.15261 (2024)
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  - journals/corr/abs-2402-02235
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Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool:
Image Fusion via Vision-Language Model. CoRR abs/2402.02235 (2024)
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  - journals/corr/abs-2402-02634
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Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe:
Key-Graph Transformer for Image Restoration. CoRR abs/2402.02634 (2024)
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Yuqian Fu, Yu Wang, Yixuan Pan, Lian Huai, Xingyu Qiu, Zeyu Shangguan, Tong Liu, Yanwei Fu, Luc Van Gool, Xingqun Jiang:
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector. CoRR abs/2402.03094 (2024)
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Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, Martin R. Oswald:
Loopy-SLAM: Dense Neural SLAM with Loop Closures. CoRR abs/2402.09944 (2024)
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  - journals/corr/abs-2403-00592
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Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge J. Belongie:
Rethinking Few-shot 3D Point Cloud Semantic Segmentation. CoRR abs/2403.00592 (2024)
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Muhammad Saif Ullah Khan, Muhammad Ferjad Naeem, Federico Tombari, Luc Van Gool, Didier Stricker, Muhammad Zeshan Afzal:
FocusCLIP: Multimodal Subject-Level Guidance for Zero-Shot Transfer in Human-Centric Tasks. CoRR abs/2403.06904 (2024)
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Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool:
Towards Online Real-Time Memory-based Video Inpainting Transformers. CoRR abs/2403.16161 (2024)
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Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segù, Siyuan Li, Luc Van Gool, Fisher Yu:
UniDepth: Universal Monocular Metric Depth Estimation. CoRR abs/2403.18913 (2024)
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  - journals/corr/abs-2403-19549
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Ganlin Zhang, Erik Sandström, Youmin Zhang, Manthan Patel, Luc Van Gool, Martin R. Oswald:
GlORIE-SLAM: Globally Optimized RGB-only Implicit Encoding Point Cloud SLAM. CoRR abs/2403.19549 (2024)
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Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed, Luc Van Gool, Danda Pani Paudel:
A Unified and Interpretable Emotion Representation and Expression Generation. CoRR abs/2404.01243 (2024)
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Ata Çelen, Guo Han, Konrad Schindler, Luc Van Gool, Iro Armeni, Anton Obukhov, Xi Wang:
I-Design: Personalized LLM Interior Designer. CoRR abs/2404.02838 (2024)
[i511]
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Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko:
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud. CoRR abs/2404.03159 (2024)
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Rui Li, Tobias Fischer, Mattia Segù, Marc Pollefeys, Luc Van Gool, Federico Tombari:
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning. CoRR abs/2404.03658 (2024)
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Elham Amin Mansour, Ozan Unal, Suman Saha, Benjamín Béjar, Luc Van Gool:
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation. CoRR abs/2404.03799 (2024)
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Juan Wen, Yawei Li, Chao Zhang, Weiyan Hou, Radu Timofte, Luc Van Gool:
Empowering Image Recovery_ A Multi-Attention Approach. CoRR abs/2404.04617 (2024)
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Saman Motamed, Wouter Van Gansbeke, Luc Van Gool:
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models. CoRR abs/2404.05519 (2024)
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Zhipeng Zhang, Zhimin Wei, Guolei Sun, Peng Wang, Luc Van Gool:
Self-Explainable Affordance Learning with Embodied Caption. CoRR abs/2404.05603 (2024)
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David Borts, Erich Liang, Tim Brödermann, Andrea Ramazzina, Stefanie Walz, Edoardo Palladin, Jipeng Sun, David Brüggemann, Christos Sakaridis, Luc Van Gool, Mario Bijelic, Felix Heide:
Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar. CoRR abs/2405.04662 (2024)
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Erik Sandström, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Luc Van Gool, Martin R. Oswald, Federico Tombari:
Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians. CoRR abs/2405.16544 (2024)
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Yuedong Tan, Zongwei Wu, Yuqian Fu, Zhuyun Zhou, Guolei Sun, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
Towards a Generalist and Blind RGB-X Tracker. CoRR abs/2405.17773 (2024)
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Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe:
Sharing Key Semantics in Transformer Makes Efficient Image Restoration. CoRR abs/2405.20008 (2024)
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Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segù, Luc Van Gool, Fisher Yu:
Matching Anything by Segmenting Anything. CoRR abs/2406.04221 (2024)
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Zhejun Zhang, Christos Sakaridis, Luc Van Gool:
TrafficBots V1.5: Traffic Simulation via Conditional VAEs and Transformers with Relative Pose Encoding. CoRR abs/2406.10898 (2024)
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Qi Ma, Danda Pani Paudel, Ender Konukoglu, Luc Van Gool:
Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes. CoRR abs/2406.17438 (2024)
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Daiwei Zhang, Gengyan Li, Jiajie Li, Mickaël Bressieux, Otmar Hilliges, Marc Pollefeys, Luc Van Gool, Xi Wang:
EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting. CoRR abs/2406.19811 (2024)
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool:
Stereo Risk: A Continuous Modeling Approach to Stereo Matching. CoRR abs/2407.03152 (2024)
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Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe:
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning. CoRR abs/2407.05862 (2024)
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Bin Ren, Eduard Zamfir, Yawei Li, Zongwei Wu, Danda Pani Paudel, Radu Timofte, Nicu Sebe, Luc Van Gool:
Any Image Restoration with Efficient Automatic Degradation Adaptation. CoRR abs/2407.13372 (2024)
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Kamil Adamczewski, Yawei Li, Luc Van Gool:
Shapley Pruning for Neural Network Compression. CoRR abs/2407.15875 (2024)
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Sohyeong Kim, Martin Danelljan, Radu Timofte, Luc Van Gool, Jean-Philippe Thiran:
PIV3CAMS: a multi-camera dataset for multiple computer vision problems and its application to novel view-point synthesis. CoRR abs/2407.18695 (2024)
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Konstantinos Tzevelekakis, Shutong Zhang, Luc Van Gool, Christos Sakaridis:
Sun Off, Lights On: Photorealistic Monocular Nighttime Simulation for Robust Semantic Perception. CoRR abs/2407.20336 (2024)
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Jiameng Li, Yue Shi, Jiezhang Cao, Bingbing Ni, Wenjun Zhang, Kai Zhang, Luc Van Gool:
Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Rendering. CoRR abs/2408.06286 (2024)
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Albert Gassol Puigjaner, Edoardo Mello Rella, Erik Sandström, Ajad Chhatkuli, Luc Van Gool:
VF-NeRF: Learning Neural Vector Fields for Indoor Scene Reconstruction. CoRR abs/2408.08766 (2024)
[i489]
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Jiancheng Pan, Yanxing Liu, Yuqian Fu, Muyuan Ma, Jiaohao Li, Danda Pani Paudel, Luc Van Gool, Xiaomeng Huang:
Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community. CoRR abs/2408.09110 (2024)
[i488]
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Qi Ma, Yue Li, Bin Ren, Nicu Sebe, Ender Konukoglu, Theo Gevers, Luc Van Gool, Danda Pani Paudel:
ShapeSplat: A Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining. CoRR abs/2408.10906 (2024)
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Shamik Basu, Christos Sakaridis, Luc Van Gool:
Physically Feasible Semantic Segmentation. CoRR abs/2408.14672 (2024)
[i486]
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Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool:
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. CoRR abs/2408.16478 (2024)
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Nedyalko Prisadnikov, Wouter Van Gansbeke, Danda Pani Paudel, Luc Van Gool:
A Simple and Generalist Approach for Panoptic Segmentation. CoRR abs/2408.16504 (2024)
[i484]
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Ada-Astrid Balauca, Danda Pani Paudel, Kristina Toutanova, Luc Van Gool:
Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits. CoRR abs/2409.01690 (2024)
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Naser Kazemi, Nedko Savov, Danda Pani Paudel, Luc Van Gool:
Learning Generative Interactive Environments By Trained Agent Exploration. CoRR abs/2409.06445 (2024)
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Asen Nachkov, Danda Pani Paudel, Luc Van Gool:
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation. CoRR abs/2409.07965 (2024)
[i481]
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Ozan Unal, Christos Sakaridis, Luc Van Gool:
Bayesian Self-Training for Semi-Supervised 3D Segmentation. CoRR abs/2409.08102 (2024)
[i480]
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Ke Li, Luc Van Gool, Dengxin Dai:
Test-time Training for Hyperspectral Image Super-resolution. CoRR abs/2409.08667 (2024)
[i479]
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Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Martin Danelljan, Luc Van Gool:
SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking. CoRR abs/2409.11235 (2024)
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Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomás Vojír, Jan Sochman, Jirí Matas, Michael Smith, Frank P. Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool:
The BRAVO Semantic Segmentation Challenge Results in UNCV2024. CoRR abs/2409.15107 (2024)
[i477]
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Sombit Dey, Jan-Nico Zaech, Nikolay Nikolov, Luc Van Gool, Danda Pani Paudel:
ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models. CoRR abs/2409.15250 (2024)
[i476]
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  - journals/corr/abs-2409-15939
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Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari:
Self-supervised Shape Completion via Involution and Implicit Correspondences. CoRR abs/2409.15939 (2024)
[i475]
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Mattia Segù, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele:
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Appearance Graphs. CoRR abs/2409.17221 (2024)
[i474]
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Mattia Segù, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Bernt Schiele, Luc Van Gool:
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking. CoRR abs/2410.01806 (2024)
[i473]
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  - journals/corr/abs-2410-03812
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Shi Chen, Danda Pani Paudel, Luc Van Gool:
EvenNICER-SLAM: Event-based Neural Implicit Encoding SLAM. CoRR abs/2410.03812 (2024)
[i472]
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Tim Broedermann, Christos Sakaridis, Yuqian Fu, Luc Van Gool:
Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes. CoRR abs/2410.10791 (2024)
[i471]
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  - journals/corr/abs-2411-03405
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Sombit Dey, Ozan Unal, Christos Sakaridis, Luc Van Gool:
Fine-Grained Spatial and Verbal Losses for 3D Visual Grounding. CoRR abs/2411.03405 (2024)
[i470]
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Zuhao Liu, Aleksandar Yanev, Ahmad Mahmood, Ivan Nikolov, Saman Motamed, Wei-Shi Zheng, Xi Wang, Luc Van Gool, Danda Pani Paudel:
InTraGen: Trajectory-controlled Video Generation for Object Interactions. CoRR abs/2411.16804 (2024)
[i469]
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  - journals/corr/abs-2411-19083
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Yuqian Fu, Runze Wang, Yanwei Fu, Danda Pani Paudel, Xuanjing Huang, Luc Van Gool:
ObjectRelator: Enabling Cross-View Object Relation Understanding in Ego-Centric and Exo-Centric Videos. CoRR abs/2411.19083 (2024)
[i468]
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  - journals/corr/abs-2412-01370
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Ada-Astrid Balauca, Sanjana Garai, Stefan Balauca, Rasesh Udayakumar Shetty, Naitik Agrawal, Dhwanil Subhashbhai Shah, Yuqian Fu, Xi Wang, Kristina Toutanova, Danda Pani Paudel, Luc Van Gool:
Understanding the World's Museums through Vision-Language Reasoning. CoRR abs/2412.01370 (2024)
[i467]
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  - journals/corr/abs-2412-01398
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Anna-Maria Halacheva, Yang Miao, Jan-Nico Zaech, Xi Wang, Luc Van Gool, Danda Pani Paudel:
Holistic Understanding of 3D Scenes as Universal Scene Description. CoRR abs/2412.01398 (2024)
[i466]
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Jiahuan Cheng, Jan-Nico Zaech, Luc Van Gool, Danda Pani Paudel:
Occam's LGS: A Simple Approach for Language Gaussian Splatting. CoRR abs/2412.01807 (2024)
[i465]
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Sean Wu, Shamik Basu, Tim Broedermann, Luc Van Gool, Christos Sakaridis:
PBR-NeRF: Inverse Rendering with Physics-Based Neural Fields. CoRR abs/2412.09680 (2024)
2023
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Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari:
Unsupervised Template Warp Consistency for Implicit Surface Correspondences. Comput. Graph. Forum 42(2): 77-87 (2023)
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Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Bowen Zhou, Ming-Ming Cheng, Luc Van Gool:
SAM struggles in concealed scenes - empirical study on "Segment Anything". Sci. China Inf. Sci. 66(12) (2023)
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Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Deep Gradient Learning for Efficient Camouflaged Object Detection. Int. J. Autom. Comput. 20(1): 92-108 (2023)
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Ge-Peng Ji, Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Christos Sakaridis, Luc Van Gool:
Masked Vision-language Transformer in Fashion. Int. J. Autom. Comput. 20(3): 421-434 (2023)
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Haotong Qin, Ge-Peng Ji, Salman Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool:
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. Mach. Intell. Res. 20(5): 605-613 (2023)
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Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Deng-Ping Fan, Radu Timofte, Luc Van Gool:
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis. Mach. Intell. Res. 20(6): 822-836 (2023)
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Hanqing Wang, Wenguan Wang, Wei Liang, Steven C. H. Hoi, Jianbing Shen, Luc Van Gool:
Active Perception for Visual-Language Navigation. Int. J. Comput. Vis. 131(3): 607-625 (2023)
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Dario Fuoli, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement. Int. J. Comput. Vis. 131(4): 1042-1059 (2023)
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Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool:
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. Int. J. Comput. Vis. 131(8): 2070-2096 (2023)
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Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool:
Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 123-136 (2023)
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Tianfei Zhou, Fatih Porikli, David J. Crandall, Luc Van Gool, Wenguan Wang:
A Survey on Deep Learning Technique for Video Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7099-7122 (2023)
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Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool:
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10247-10266 (2023)
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Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Yu-Wing Tai, Chi-Keung Tang, Luc Van Gool:
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10929-10946 (2023)
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Huan Wang, Yulun Zhang, Can Qin, Luc Van Gool, Yun Fu:
Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10974-10989 (2023)
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Hao Tang, Guolei Sun, Nicu Sebe, Luc Van Gool:
Edge Guided GANs With Multi-Scale Contrastive Learning for Semantic Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14435-14452 (2023)
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Ozan Unal, Dengxin Dai, Ali Tamer Ünal, Luc Van Gool:
Discwise Active Learning for LiDAR Semantic Segmentation. IEEE Robotics Autom. Lett. 8(11): 7671-7678 (2023)
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Ren Yang, Radu Timofte, Luc Van Gool:
Advancing Learned Video Compression With In-Loop Frame Prediction. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2410-2423 (2023)
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Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte:
3D-Aware Video Generation. Trans. Mach. Learn. Res. 2023 (2023)
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Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool:
Advances in deep concealed scene understanding. Vis. Intell. 1(1) (2023)
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Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov:
Breathing New Life into 3D Assets with Generative Repainting. BMVC 2023: 405
[c865]
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Zhaochong An, Guolei Sun, Zongwei Wu, Hao Tang, Luc Van Gool:
Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation. BMVC 2023: 542
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Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool:
Replay-Based Online Adaptation for Unsupervised Deep Visual Odometry. CIARP 2023: 674-684
[c863]
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Han Sun, Rui Gong, Konrad Schindler, Luc Van Gool:
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory. CoLLAs 2023: 1091-1111
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Han Yao Choong, Suryansh Kumar, Luc Van Gool:
Quantum Annealing for Single Image Super-Resolution. CVPR Workshops 2023: 1150-1159
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Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool:
Denoising Diffusion Models for Plug-and-Play Image Restoration. CVPR Workshops 2023: 1219-1229
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Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
LSDIR: A Large Scale Dataset for Image Restoration. CVPR Workshops 2023: 1775-1787
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Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CVPR 2023: 1796-1807
[c858]
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Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang:
NTIRE 2023 Challenge on Image Denoising: Methods and Results. CVPR Workshops 2023: 1905-1921
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Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2023: 1922-1960
[c856]
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Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool:
Graph Transformer GANs for Graph-Constrained House Generation. CVPR 2023: 2173-2182
[c855]
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Henri De Plaen, Pierre-François De Plaen, Johan A. K. Suykens, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Unbalanced Optimal Transport: A Unified Framework for Object Detection. CVPR 2023: 3198-3207
[c854]
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Qingsen Yan, Song Zhang, Weiye Chen, Hao Tang, Yu Zhu, Jinqiu Sun, Luc Van Gool, Yanning Zhang:
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders. CVPR 2023: 5775-5784
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Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool:
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CVPR 2023: 5906-5916
[c852]
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Menelaos Kanakis, Simon Maurer, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool:
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. CVPR Workshops 2023: 6114-6123
[c851]
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Rui Gong, Qin Wang, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations. CVPR 2023: 7225-7235
[c850]
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Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool:
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CVPR 2023: 11721-11732
[c849]
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Nishant Jain, Suryansh Kumar, Luc Van Gool:
Enhanced Stable View Synthesis. CVPR 2023: 13208-13217
[c848]
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  - conf/cvpr/Mei0HWLZG023
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Guofeng Mei, Hao Tang, Xiaoshui Huang, Weijie Wang, Juan Liu, Jian Zhang, Luc Van Gool, Qiang Wu:
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration. CVPR 2023: 13611-13620
[c847]
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Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool:
Indiscernible Object Counting in Underwater Scenes. CVPR 2023: 13791-13801
[c846]
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Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari:
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CVPR 2023: 15169-15179
[c845]
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CVPR 2023: 17346-17356
[c844]
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Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Kai Zhang, Jiezhang Cao, Qi Jiang, Kaiwei Wang, Luc Van Gool:
Event-Based Frame Interpolation with Ad-hoc Deblurring. CVPR 2023: 18043-18052
[c843]
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  - conf/cvpr/LiFXDRTG23
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Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. CVPR 2023: 18278-18289
[c842]
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Bin Xia, Jingwen He, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Luc Van Gool:
Structured Sparsity Learning for Efficient Video Super-Resolution. CVPR 2023: 22638-22647
[c841]
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  - conf/iccv/WuPFW0DTG23
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Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool:
Source-free Depth for Object Pop-out. ICCV 2023: 1032-1042
[c840]
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Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein:
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. ICCV 2023: 2139-2150
[c839]
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Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Deformable Neural Radiance Fields using RGB and Event Cameras. ICCV 2023: 3567-3577
[c838]
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Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool:
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. ICCV 2023: 8048-8059
[c837]
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Improving Online Lane Graph Extraction by Object-Lane Clustering. ICCV 2023: 8557-8567
[c836]
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Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu:
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. ICCV 2023: 8613-8623
[c835]
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Goutam Bhat, Michaël Gharbi, Jiawen Chen, Luc Van Gool, Zhihao Xia:
Self-Supervised Burst Super-Resolution. ICCV 2023: 10571-10580
[c834]
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Hanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang:
Dreamwalker: Mental Planning for Continuous Vision-Language Navigation. ICCV 2023: 10839-10849
[c833]
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David Brüggemann, Christos Sakaridis, Tim Brödermann, Luc Van Gool:
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. ICCV 2023: 11344-11353
[c832]
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Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal:
Introducing Language Guidance in Prompt-based Continual Learning. ICCV 2023: 11429-11439
[c831]
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Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool:
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. ICCV 2023: 12513-12524
[c830]
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Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool:
DiffIR: Efficient Diffusion Model for Image Restoration. ICCV 2023: 13049-13059
[c829]
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Nikola Popovic, Danda Pani Paudel, Luc Van Gool:
Surface Normal Clustering for Implicit Representation of Manhattan Scenes. ICCV 2023: 17814-17824
[c828]
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Erik Sandström, Yue Li, Luc Van Gool, Martin R. Oswald:
Point-SLAM: Dense Neural Point Cloud-based SLAM. ICCV 2023: 18387-18398
[c827]
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Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool:
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. ICCV 2023: 19177-19188
[c826]
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Ali Diba, Vivek Sharma, Mohammad Mahdi Arzani, Luc Van Gool:
Spatio-Temporal Convolution-Attention Video Network. ICCV (Workshops) 2023: 859-869
[c825]
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Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo:
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810
[c824]
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Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel, Martin Danelljan, Luc Van Gool:
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions. ICCV (Workshops) 2023: 2880-2890
[c823]
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Erik Sandström, Kevin Ta, Luc Van Gool, Martin R. Oswald:
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM. ICCV (Workshops) 2023: 4539-4550
[c822]
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Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool:
Token-Consistent Dropout For Calibrated Vision Transformers. ICIP 2023: 1030-1034
[c821]
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Hao Tang, Xiaojuan Qi, Guolei Sun, Dan Xu, Nicu Sebe, Radu Timofte, Luc Van Gool:
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis. ICLR 2023
[c820]
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. ICLR 2023
[c819]
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Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Basic Binary Convolution Unit for Binarized Image Restoration Network. ICLR 2023
[c818]
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Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. ICLR 2023
[c817]
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Xinchen Gao, Yawei Li, Wen Li, Lixin Duan, Luc Van Gool, Luca Benini, Michele Magno:
Learning continuous piecewise non-linear activation functions for deep neural networks. ICME 2023: 1835-1840
[c816]
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Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023: 1522-1529
[c815]
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Kevin Ta, David Brüggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool:
L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras. ICRA 2023: 11425-11431
[c814]
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Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool:
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. IROS 2023: 5582-5589
[c813]
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Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Michele Magno, Luca Benini, Luc Van Gool:
LocalViT: Analyzing Locality in Vision Transformers. IROS 2023: 9598-9605
[c812]
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  - conf/ismar/PopovicCPWG23
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Nikola Popovic, Dimitrios Christodoulou, Danda Pani Paudel, Xi Wang, Luc Van Gool:
Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions. ISMAR-Adjunct 2023: 746-751
[c811]
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Online Lane Graph Extraction from Onboard Video. ITSC 2023: 1663-1670
[c810]
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Prior Based Online Lane Graph Extraction from Single Onboard Camera Image. ITSC 2023: 1671-1678
[c809]
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  - conf/itsc/BrodermannSDG23
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Tim Brödermann, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
HRFuser: A Multi-Resolution Sensor Fusion Architecture for 2D Object Detection. ITSC 2023: 4159-4166
[c808]
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  - conf/miccai/RellaCKG23
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Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool:
MultiVT: Multiple-Task Framework for Dentistry. DART@MICCAI 2023: 12-21
[c807]
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Yu-Hui Huang, Marc Proesmans, Luc Van Gool:
Padding Investigations for CNNs in Scene Parsing Tasks. MVA 2023: 1-5
[c806]
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Haoyu Chen, Hao Tang, Radu Timofte, Luc Van Gool, Guoying Zhao:
LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer. NeurIPS 2023
[c805]
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Evangelos Ntavelis, Aliaksandr Siarohin, Kyle Olszewski, Chaoyang Wang, Luc Van Gool, Sergey Tulyakov:
Autodecoding Latent 3D Diffusion Models. NeurIPS 2023
[c804]
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Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip H. S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko:
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union. NeurIPS 2023
[c803]
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Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc Van Gool:
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023
[c802]
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Nikola Popovic, Ritika Chakraborty, Danda Pani Paudel, Thomas Probst, Luc Van Gool:
Spatially Multi-conditional Image Generation. WACV 2023: 734-743
[c801]
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Abhishek Jha, Badri N. Patro, Luc Van Gool, Tinne Tuytelaars:
Barlow constrained optimization for Visual Question Answering. WACV 2023: 1084-1093
[c800]
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Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, Luc Van Gool:
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials. WACV 2023: 1339-1349
[c799]
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Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool:
Efficient Visual Tracking with Exemplar Transformers. WACV 2023: 1571-1581
[c798]
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  - conf/wacv/FuoliDTG23
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Dario Fuoli, Martin Danelljan, Radu Timofte, Luc Van Gool:
Fast Online Video Super-Resolution with Deformable Attention Pyramid. WACV 2023: 1735-1744
[c797]
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  - conf/wacv/KanakisHBYG23
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Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. WACV 2023: 2298-2307
[c796]
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  - conf/wacv/KayaKOFG23
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Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Multi-View Photometric Stereo Revisited. WACV 2023: 3125-3134
[c795]
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David Brüggemann, Christos Sakaridis, Prune Truong, Luc Van Gool:
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions. WACV 2023: 3173-3183
[c794]
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Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal:
Learning Attention Propagation for Compositional Zero-Shot Learning. WACV 2023: 3817-3826
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Yifan Lu, Gurkirt Singh, Suman Saha, Luc Van Gool:
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection. WACV 2023: 4134-4145
[c792]
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Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool:
Spatio-Temporal Action Detection Under Large Motion. WACV 2023: 5998-6007
[c791]
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Ke Li, Dengxin Dai, Luc Van Gool:
Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging. WACV 2023: 6373-6383
[i464]
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  - journals/corr/abs-2301-05191
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Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Jiezhang Cao, Kai Zhang, Qi Jiang, Kaiwei Wang, Luc Van Gool:
Event-Based Frame Interpolation with Ad-hoc Deblurring. CoRR abs/2301.05191 (2023)
[i463]
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. CoRR abs/2302.06556 (2023)
[i462]
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Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. CoRR abs/2303.00748 (2023)
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Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. CoRR abs/2303.04116 (2023)
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Nick Bührer, Zhejun Zhang, Alexander Liniger, Fisher Yu, Luc Van Gool:
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning. CoRR abs/2303.04118 (2023)
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David Brüggemann, Christos Sakaridis, Tim Brödermann, Luc Van Gool:
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. CoRR abs/2303.05194 (2023)
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Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool:
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. CoRR abs/2303.06840 (2023)
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Hao Tang, Zhenyu Zhang, Humphrey Shi, Bo Li, Ling Shao, Nicu Sebe, Radu Timofte, Luc Van Gool:
Graph Transformer GANs for Graph-Constrained House Generation. CoRR abs/2303.08225 (2023)
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Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool:
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. CoRR abs/2303.08942 (2023)
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Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool:
DiffIR: Efficient Diffusion Model for Image Restoration. CoRR abs/2303.09472 (2023)
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Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool:
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRR abs/2303.11720 (2023)
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Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel, Martin Danelljan, Luc Van Gool:
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions. CoRR abs/2303.12865 (2023)
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Guofeng Mei, Hao Tang, Xiaoshui Huang, Weijie Wang, Juan Liu, Jian Zhang, Luc Van Gool, Qiang Wu:
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration. CoRR abs/2303.13290 (2023)
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Nishant Jain, Suryansh Kumar, Luc Van Gool:
Enhanced Stable View Synthesis. CoRR abs/2303.17094 (2023)
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Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Luc Van Gool:
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take. CoRR abs/2303.18164 (2023)
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Online Lane Graph Extraction from Onboard Video. CoRR abs/2304.00930 (2023)
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Erik Sandström, Yue Li, Luc Van Gool, Martin R. Oswald:
Point-SLAM: Dense Neural Point Cloud-based SLAM. CoRR abs/2304.04278 (2023)
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Xue-Jing Luo, Shuo Wang, Zongwei Wu, Christos Sakaridis, Yun Cheng, Deng-Ping Fan, Luc Van Gool:
CamDiff: Camouflage Image Augmentation via Diffusion Model. CoRR abs/2304.05469 (2023)
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Ge-Peng Ji, Deng-Ping Fan, Peng Xu, Ming-Ming Cheng, Bowen Zhou, Luc Van Gool:
SAM Struggles in Concealed Scenes - Empirical Study on "Segment Anything". CoRR abs/2304.06022 (2023)
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Qingsen Yan, Song Zhang, Weiye Chen, Hao Tang, Yu Zhu, Jinqiu Sun, Luc Van Gool, Yanning Zhang:
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders. CoRR abs/2304.06914 (2023)
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Han Yao Choong, Suryansh Kumar, Luc Van Gool:
Quantum Annealing for Single Image Super-Resolution. CoRR abs/2304.08924 (2023)
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Deng-Ping Fan, Ge-Peng Ji, Peng Xu, Ming-Ming Cheng, Christos Sakaridis, Luc Van Gool:
Advances in Deep Concealed Scene Understanding. CoRR abs/2304.11234 (2023)
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Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, Luc Van Gool:
Indiscernible Object Counting in Underwater Scenes. CoRR abs/2304.11677 (2023)
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Lukas Hoyer, Dengxin Dai, Luc Van Gool:
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. CoRR abs/2304.13615 (2023)
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Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool:
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. CoRR abs/2304.14291 (2023)
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Yasaman Haghighi, Suryansh Kumar, Jean-Philippe Thiran, Luc Van Gool:
Neural Implicit Dense Semantic SLAM. CoRR abs/2304.14560 (2023)
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Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool:
StyleGenes: Discrete and Efficient Latent Distributions for GANs. CoRR abs/2305.00599 (2023)
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Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool:
Denoising Diffusion Models for Plug-and-Play Image Restoration. CoRR abs/2305.08995 (2023)
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Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool:
Equivariant Multi-Modality Image Fusion. CoRR abs/2305.11443 (2023)
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Christos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool:
Condition-Invariant Semantic Segmentation. CoRR abs/2305.17349 (2023)
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Han Sun, Rui Gong, Konrad Schindler, Luc Van Gool:
SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory. CoRR abs/2306.04385 (2023)
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Erik Sandström, Kevin Ta, Luc Van Gool, Martin R. Oswald:
UncLe-SLAM: Uncertainty Learning for Dense Neural SLAM. CoRR abs/2306.11048 (2023)
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Daoji Huang, Otmar Hilliges, Luc Van Gool, Xi Wang:
Palm: Predicting Actions through Language Models @ Ego4D Long-Term Action Anticipation Challenge 2023. CoRR abs/2306.16545 (2023)
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Rui Gong, Martin Danelljan, Han Sun, Julio Delgado Mangas, Luc Van Gool:
Prompting Diffusion Representations for Cross-Domain Semantic Segmentation. CoRR abs/2307.02138 (2023)
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Henri De Plaen, Pierre-François De Plaen, Johan A. K. Suykens, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Unbalanced Optimal Transport: A Unified Framework for Object Detection. CoRR abs/2307.02402 (2023)
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Evangelos Ntavelis, Aliaksandr Siarohin, Kyle Olszewski, Chaoyang Wang, Luc Van Gool, Sergey Tulyakov:
AutoDecoding Latent 3D Diffusion Models. CoRR abs/2307.05445 (2023)
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Improving Online Lane Graph Extraction by Object-Lane Clustering. CoRR abs/2307.10947 (2023)
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Hao Tang, Guolei Sun, Nicu Sebe, Luc Van Gool:
Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis. CoRR abs/2307.12084 (2023)
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Prior Based Online Lane Graph Extraction from Single Onboard Camera Image. CoRR abs/2307.13344 (2023)
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Haotong Qin, Ge-Peng Ji, Salman H. Khan, Deng-Ping Fan, Fahad Shahbaz Khan, Luc Van Gool:
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges. CoRR abs/2307.15016 (2023)
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Juan Wen, Shupeng Cheng, Peng Xu, Bowen Zhou, Radu Timofte, Weiyan Hou, Luc Van Gool:
When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study. CoRR abs/2308.04370 (2023)
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Hanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang:
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation. CoRR abs/2308.07498 (2023)
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Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation. CoRR abs/2308.13767 (2023)
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Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal:
Introducing Language Guidance in Prompt-based Continual Learning. CoRR abs/2308.15827 (2023)
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Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu:
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. CoRR abs/2309.04422 (2023)
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Ozan Unal, Christos Sakaridis, Suman Saha, Fisher Yu, Luc Van Gool:
Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding. CoRR abs/2309.04561 (2023)
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Zhaochong An, Guolei Sun, Zongwei Wu, Hao Tang, Luc Van Gool:
Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation. CoRR abs/2309.08020 (2023)
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Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Deformable Neural Radiance Fields using RGB and Event Cameras. CoRR abs/2309.08416 (2023)
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Tianfu Wang, Menelaos Kanakis, Konrad Schindler, Luc Van Gool, Anton Obukhov:
Breathing New Life into 3D Assets with Generative Repainting. CoRR abs/2309.08523 (2023)
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Ozan Ünal, Dengxin Dai, Ali Tamer Ünal, Luc Van Gool:
Discwise Active Learning for LiDAR Semantic Segmentation. CoRR abs/2309.13276 (2023)
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Jan-Nico Zaech, Martin Danelljan, Luc Van Gool:
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. CoRR abs/2310.12153 (2023)
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Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, Luc Van Gool:
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. CoRR abs/2310.12970 (2023)
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Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari:
SILC: Improving Vision Language Pretraining with Self-Distillation. CoRR abs/2310.13355 (2023)
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Zifu Wang, Maxim Berman, Amal Rannen Triki, Philip H. S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko:
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union. CoRR abs/2310.19252 (2023)
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Qingsen Yan, Tao Hu, Yuan Sun, Hao Tang, Yu Zhu, Wei Dong, Luc Van Gool, Yanning Zhang:
Towards High-quality HDR Deghosting with Conditional Diffusion Models. CoRR abs/2311.00932 (2023)
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Zador Pataki, Mohammad Altillawi, Menelaos Kanakis, Rémi Pautrat, Fengyi Shen, Ziyuan Liu, Luc Van Gool, Marc Pollefeys:
Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences. CoRR abs/2311.03345 (2023)
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Nishant Jain, Suryansh Kumar, Luc Van Gool:
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images. CoRR abs/2311.04521 (2023)
[i407]
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Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars, Luc Van Gool:
Contrastive Learning for Multi-Object Tracking with Transformers. CoRR abs/2311.08043 (2023)
[i406]
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Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan:
MoVideo: Motion-Aware Video Generation with Diffusion Models. CoRR abs/2311.11325 (2023)
[i405]
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Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
Deep Equilibrium Diffusion Restoration with Parallel Sampling. CoRR abs/2311.11600 (2023)
[i404]
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Nikola Popovic, Dimitrios Christodoulou, Danda Pani Paudel, Xi Wang, Luc Van Gool:
Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions. CoRR abs/2311.12157 (2023)
[i403]
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  - journals/corr/abs-2311-13009
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Janis Postels, Yannick Strümpler, Klara Reichard, Luc Van Gool, Federico Tombari:
3D Compression Using Neural Fields. CoRR abs/2311.13009 (2023)
[i402]
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Saman Motamed, Danda Pani Paudel, Luc Van Gool:
Lego: Learning to Disentangle and Invert Concepts Beyond Object Appearance in Text-to-Image Diffusion Models. CoRR abs/2311.13833 (2023)
[i401]
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Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool:
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. CoRR abs/2311.15605 (2023)
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Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte:
Single-Model and Any-Modality for Video Object Tracking. CoRR abs/2311.15851 (2023)
[i399]
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Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari:
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance. CoRR abs/2311.16241 (2023)
[i398]
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Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Continuous Pose for Monocular Cameras in Neural Implicit Representation. CoRR abs/2311.17119 (2023)
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Sanghwan Kim, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang:
LALM: Long-Term Action Anticipation with Language Models. CoRR abs/2311.17944 (2023)
[i396]
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Weijie Wang, Guofeng Mei, Bin Ren, Xiaoshui Huang, Fabio Poiesi, Luc Van Gool, Nicu Sebe, Bruno Lepri:
Zero-Shot Point Cloud Registration. CoRR abs/2312.03032 (2023)
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Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov:
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control. CoRR abs/2312.03048 (2023)
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  - journals/corr/abs-2312-08558
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M. Eren Akbiyik, Nedko Savov, Danda Pani Paudel, Nikola Popovic, Christian Vater, Otmar Hilliges, Luc Van Gool, Xi Wang:
G-MEMP: Gaze-Enhanced Multimodal Ego-Motion Prediction in Driving. CoRR abs/2312.08558 (2023)
[i393]
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Asen Nachkov, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Diffusion-Based Particle-DETR for BEV Perception. CoRR abs/2312.11578 (2023)
[i392]
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Junru Lin, Asen Nachkov, Songyou Peng, Luc Van Gool, Danda Pani Paudel:
Ternary-type Opacity and Hybrid Odometry for RGB-only NeRF-SLAM. CoRR abs/2312.13332 (2023)
[i391]
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Rashik Shrestha, Ajad Chhatkuli, Menelaos Kanakis, Luc Van Gool:
Residual Learning for Image Point Descriptors. CoRR abs/2312.15471 (2023)
2022
[j168]
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Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, Luc Van Gool:
Facial-sketch Synthesis: A New Challenge. Int. J. Autom. Comput. 19(4): 257-287 (2022)
[j167]
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Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Luc Van Gool:
Video Polyp Segmentation: A Deep Learning Perspective. Int. J. Autom. Comput. 19(6): 531-549 (2022)
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Hisham Cholakkal, Guolei Sun, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool:
Towards Partial Supervision for Generic Object Counting in Natural Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1604-1622 (2022)
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Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3139-3153 (2022)
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Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai, Luc Van Gool:
Multi-Task Learning for Dense Prediction Tasks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3614-3633 (2022)
[j163]
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Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Yunde Jia, Luc Van Gool:
Towards a Weakly Supervised Framework for 3D Point Cloud Object Detection and Annotation. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4454-4468 (2022)
[j162]
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Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte:
Plug-and-Play Image Restoration With Deep Denoiser Prior. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6360-6376 (2022)
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Xiankai Lu, Wenguan Wang, Jianbing Shen, David J. Crandall, Luc Van Gool:
Segmenting Objects From Relational Visual Data. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7885-7897 (2022)
[j160]
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  - journals/ral/MeniniKOSSG22
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Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandström, Cristian Sminchisescu, Luc Van Gool:
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes. IEEE Robotics Autom. Lett. 7(2): 1332-1339 (2022)
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Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai:
End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. IEEE Robotics Autom. Lett. 7(2): 2242-2249 (2022)
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Yigit Baran Can, Alexander Liniger, Ozan Unal, Danda Pani Paudel, Luc Van Gool:
Understanding Bird's-Eye View of Road Semantics Using an Onboard Camera. IEEE Robotics Autom. Lett. 7(2): 3302-3309 (2022)
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Vaishakh Patil, Alexander Liniger, Dengxin Dai, Luc Van Gool:
Improving Depth Estimation Using Map-Based Depth Priors. IEEE Robotics Autom. Lett. 7(2): 3640-3647 (2022)
[j156]
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Jan-Nico Zaech, Alexander Liniger, Dengxin Dai, Martin Danelljan, Luc Van Gool:
Learnable Online Graph Representations for 3D Multi-Object Tracking. IEEE Robotics Autom. Lett. 7(2): 5103-5110 (2022)
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  - conf/3dim/PostelsDGT22
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Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari:
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows. 3DV 2022: 84-93
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  - conf/accv/FangSPPG22
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Zilin Fang, Mohamad Shahbazi, Thomas Probst, Danda Pani Paudel, Luc Van Gool:
Training Dynamics Aware Neural Network Optimization with Stabilization. ACCV (1) 2022: 635-651
[c788]
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Yitong Xia, Hao Tang, Radu Timofte, Luc Van Gool:
SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction. BMVC 2022: 131
[c787]
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
End-to-End Learning of Multi-category 3D Pose and Shape Estimation. BMVC 2022: 200
[c786]
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Nishant Jain, Suryansh Kumar, Luc Van Gool:
Robustifying the Multi-Scale Representation of Neural Radiance Fields. BMVC 2022: 578
[c785]
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Mubashir Noman, Wafa Al Ghallabi, Daniya Kareem, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan:
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. BMVC 2022: 817
[c784]
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  - conf/corl/AdamczewskiSPG22
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Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil, Luc Van Gool:
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion. CoRL 2022: 561-570
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Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool:
Revisiting Random Channel Pruning for Neural Network Compression. CVPR 2022: 191-201
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Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CVPR Workshops 2022: 744-754
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  - conf/cvpr/RomeroGT22
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Andrés Romero, Luc Van Gool, Radu Timofte:
Unpaired Real-World Super-Resolution with Pseudo Controllable Restoration. CVPR Workshops 2022: 797-806
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Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi:
NTIRE 2022 Spectral Recovery Challenge and Data Set. CVPR Workshops 2022: 862-880
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Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101
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Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool:
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. CVPR 2022: 1600-1611
[c777]
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Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool:
Rethinking Semantic Segmentation: A Prototype View. CVPR 2022: 2572-2583
[c776]
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Ozan Unal, Dengxin Dai, Luc Van Gool:
Scribble-Supervised LiDAR Semantic Segmentation. CVPR 2022: 2687-2697
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Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, Luc Van Gool:
Coarse-to-Fine Feature Mining for Video Semantic Segmentation. CVPR 2022: 3116-3127
[c774]
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Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool:
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation. CVPR 2022: 3971-3980
[c773]
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Nicola Marinello, Marc Proesmans, Luc Van Gool:
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM. CVPR Workshops 2022: 4499-4509
[c772]
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Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai:
Continual Test-Time Domain Adaptation. CVPR 2022: 7191-7201
[c771]
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Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. CVPR 2022: 8698-8708
[c770]
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Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool:
Transforming Model Prediction for Tracking. CVPR 2022: 8721-8730
[c769]
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Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Adiabatic Quantum Computing for Multi Object Tracking. CVPR 2022: 8801-8812
[c768]
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Lukas Hoyer, Dengxin Dai, Luc Van Gool:
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CVPR 2022: 9914-9925
[c767]
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Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool:
Generative Flows with Invertible Attentions. CVPR 2022: 11224-11233
[c766]
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Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CVPR 2022: 11451-11461
[c765]
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Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool:
Arbitrary-Scale Image Synthesis. CVPR 2022: 11523-11532
[c764]
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Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. CVPR 2022: 12591-12601
[c763]
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Wenhao Li, Hong Liu, Hao Tang, Pichao Wang, Luc Van Gool:
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation. CVPR 2022: 13137-13146
[c762]
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Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Sound and Visual Representation Learning with Multiple Pretraining Tasks. CVPR 2022: 14596-14606
[c761]
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Hanqing Wang, Wei Liang, Jianbing Shen, Luc Van Gool, Wenguan Wang:
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation. CVPR 2022: 15450-15460
[c760]
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Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool:
LiDAR Snowfall Simulation for Robust 3D Object Detection. CVPR 2022: 16343-16353
[c759]
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Topology Preserving Local Road Network Estimation from Single Onboard Camera Image. CVPR 2022: 17242-17251
[c758]
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Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CVPR 2022: 17481-17490
[c757]
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Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CVPR 2022: 17521-17530
[c756]
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Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding:
Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model. CVPR 2022: 18208-18217
[c755]
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Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu:
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. CVPR 2022: 21339-21350
[c754]
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Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool:
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. ECCV (34) 2022: 19-35
[c753]
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Jialun Pei, Tianyang Cheng, Deng-Ping Fan, He Tang, Chuanbo Chen, Luc Van Gool:
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers. ECCV (18) 2022: 19-37
[c752]
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Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool:
Highly Accurate Dichotomous Image Segmentation. ECCV (18) 2022: 38-56
[c751]
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  - conf/eccv/KumarG22
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Suryansh Kumar, Luc Van Gool:
Organic Priors in Non-rigid Structure from Motion. ECCV (2) 2022: 71-88
[c750]
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Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari:
Implicit Neural Representations for Image Compression. ECCV (26) 2022: 74-91
[c749]
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Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool:
Learning Online Multi-sensor Depth Fusion. ECCV (32) 2022: 87-105
[c748]
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Edward Günther, Rui Gong, Luc Van Gool:
Style Adaptive Semantic Image Editing with Transformers. ECCV Workshops (2) 2022: 187-203
[c747]
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Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-Based Image Super-Resolution with Deformable Attention Transformer. ECCV (18) 2022: 325-342
[c746]
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Lukas Hoyer, Dengxin Dai, Luc Van Gool:
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. ECCV (30) 2022: 372-391
[c745]
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Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. ECCV (18) 2022: 393-411
[c744]
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Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool:
Event-Based Fusion for Motion Deblurring with Cross-modal Attention. ECCV (18) 2022: 412-428
[c743]
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  - conf/eccv/KristanLMFPKCDZLDBZZYYCMFBBCCCCCCCCCCC22
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Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460
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Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool:
Mining Relations Among Cross-Frame Affinities for Video Semantic Segmentation. ECCV (34) 2022: 522-539
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Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool:
Robust Visual Tracking by Segmentation. ECCV (22) 2022: 571-588
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Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool:
Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild. ECCV (6) 2022: 625-641
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Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. ECCV (17) 2022: 686-704
[c738]
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Muhammad Ferjad Naeem, Evin Pinar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari:
3D Compositional Zero-Shot Learning with DeCompositional Consensus. ECCV (28) 2022: 713-730
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Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. ECCV Workshops (2) 2022: 729-746
[c736]
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Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool:
Zero Pixel Directional Boundary by Vector Transform. ICLR 2022
[c735]
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Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Collapse by Conditioning: Training Class-conditional GANs with Limited Data. ICLR 2022
[c734]
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Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. ICML 2022: 13334-13343
[c733]
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Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool:
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration. ICML 2022: 13394-13404
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  - conf/icml/PostelsSSSGYT22
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Janis Postels, Mattia Segù, Tao Sun, Luca Daniel Sieber, Luc Van Gool, Fisher Yu, Federico Tombari:
On the Practicality of Deterministic Epistemic Uncertainty. ICML 2022: 17870-17909
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Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. ICPR 2022: 677-684
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Ren Yang, Radu Timofte, Luc Van Gool:
Perceptual Learned Video Compression with Recurrent Conditional GAN. IJCAI 2022: 1537-1544
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Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool:
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. L4DC 2022: 1006-1019
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Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. NeurIPS 2022
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Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. NeurIPS 2022
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Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. NeurIPS 2022
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Hanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang:
Towards Versatile Embodied Navigation. NeurIPS 2022
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  - conf/wacv/KuznietsovPG22
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Yevhen Kuznietsov, Marc Proesmans, Luc Van Gool:
Towards Unsupervised Online Domain Adaptation for Semantic Segmentation. WACV (Workshops) 2022: 261-271
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Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution. WACV 2022: 874-883
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Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool:
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. WACV 2022: 2304-2314
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Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool:
Unsupervised Robust Domain Adaptation without Source Data. WACV 2022: 2805-2814
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  - conf/wacv/KayaKSFG22
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Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool:
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. WACV 2022: 3967-3979
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Ke Li, Dengxin Dai, Luc Van Gool:
Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task. WACV 2022: 4039-4048
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Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Sound and Visual Representation Learning with Multiple Pretraining Tasks. CoRR abs/2201.01046 (2022)
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Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. CoRR abs/2201.01893 (2022)
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Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai:
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. CoRR abs/2201.03860 (2022)
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Mohamad Shahbazi, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Collapse by Conditioning: Training Class-conditional GANs with Limited Data. CoRR abs/2201.06578 (2022)
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Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CoRR abs/2201.09865 (2022)
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Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister:
Revisiting RCAN: Improved Training for Image Super-Resolution. CoRR abs/2201.11279 (2022)
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Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. CoRR abs/2201.12288 (2022)
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  - journals/corr/abs-2202-01731
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Dario Fuoli, Martin Danelljan, Radu Timofte, Luc Van Gool:
Fast Online Video Super-Resolution with Deformable Attention Pyramid. CoRR abs/2202.01731 (2022)
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Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Adiabatic Quantum Computing for Multi Object Tracking. CoRR abs/2202.08837 (2022)
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Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncertainty-Aware Deep Multi-View Photometric Stereo. CoRR abs/2202.13071 (2022)
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Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool:
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation. CoRR abs/2202.13162 (2022)
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Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CoRR abs/2203.02149 (2022)
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Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool:
Highly Accurate Dichotomous Image Segmentation. CoRR abs/2203.03041 (2022)
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Simon Maurer, Menelaos Kanakis, Matteo Spallanzani, Ajad Chhatkuli, Luc Van Gool:
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization. CoRR abs/2203.03610 (2022)
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  - journals/corr/abs-2203-03727
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Abhishek Jha, Badri N. Patro, Luc Van Gool, Tinne Tuytelaars:
Barlow constrained optimization for Visual Question Answering. CoRR abs/2203.03727 (2022)
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Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. CoRR abs/2203.04279 (2022)
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  - journals/corr/abs-2203-04845
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Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. CoRR abs/2203.04845 (2022)
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Feiyu Wang, Qin Wang, Wen Li, Dong Xu, Luc Van Gool:
Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound. CoRR abs/2203.06639 (2022)
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Ozan Unal, Dengxin Dai, Luc Van Gool:
Scribble-Supervised LiDAR Semantic Segmentation. CoRR abs/2203.08537 (2022)
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  - journals/corr/abs-2203-08795
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Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool:
Zero Pixel Directional Boundary by Vector Transform. CoRR abs/2203.08795 (2022)
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  - journals/corr/abs-2203-10636
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Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool:
Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild. CoRR abs/2203.10636 (2022)
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  - journals/corr/abs-2203-11191
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Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool:
Robust Visual Tracking by Segmentation. CoRR abs/2203.11191 (2022)
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Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool:
Transforming Model Prediction for Tracking. CoRR abs/2203.11192 (2022)
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Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Radu Timofte, Luc Van Gool:
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis. CoRR abs/2203.13278 (2022)
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Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai:
Continual Test-Time Domain Adaptation. CoRR abs/2203.13591 (2022)
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Ritika Chakraborty, Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool:
Spatially Multi-conditional Image Generation. CoRR abs/2203.13812 (2022)
[i364]
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  - journals/corr/abs-2203-14291
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Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Huazhu Fu, Luc Van Gool:
Video Polyp Segmentation: A Deep Learning Perspective. CoRR abs/2203.14291 (2022)
[i363]
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  - journals/corr/abs-2203-15102
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Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool:
Rethinking Semantic Segmentation: A Prototype View. CoRR abs/2203.15102 (2022)
[i362]
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  - journals/corr/abs-2203-15118
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Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool:
LiDAR Snowfall Simulation for Robust 3D Object Detection. CoRR abs/2203.15118 (2022)
[i361]
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  - journals/corr/abs-2203-16586
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Hanqing Wang, Wei Liang, Jianbing Shen, Luc Van Gool, Wenguan Wang:
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation. CoRR abs/2203.16586 (2022)
[i360]
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  - journals/corr/abs-2204-01263
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Liqian Ma, Lingjie Liu, Christian Theobalt, Luc Van Gool:
Direct Dense Pose Estimation. CoRR abs/2204.01263 (2022)
[i359]
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  - journals/corr/abs-2204-01267
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Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool:
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. CoRR abs/2204.01267 (2022)
[i358]
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  - journals/corr/abs-2204-02091
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Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool:
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. CoRR abs/2204.02091 (2022)
[i357]
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Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool:
Arbitrary-Scale Image Synthesis. CoRR abs/2204.02273 (2022)
[i356]
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José L. Vázquez, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool:
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. CoRR abs/2204.02392 (2022)
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Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, Luc Van Gool:
Coarse-to-Fine Feature Mining for Video Semantic Segmentation. CoRR abs/2204.03330 (2022)
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Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool:
Learning Online Multi-Sensor Depth Fusion. CoRR abs/2204.03353 (2022)
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Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool:
Neural Vector Fields for Surface Representation and Inference. CoRR abs/2204.06552 (2022)
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Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CoRR abs/2204.07908 (2022)
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Lukas Hoyer, Dengxin Dai, Luc Van Gool:
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. CoRR abs/2204.13132 (2022)
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Chuqiao Li, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, Luc Van Gool:
A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials. CoRR abs/2205.05467 (2022)
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Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, et al.:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2205.05675 (2022)
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Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool:
Revisiting Random Channel Pruning for Neural Network Compression. CoRR abs/2205.05676 (2022)
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Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. CoRR abs/2205.10102 (2022)
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Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool:
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration. CoRR abs/2205.10195 (2022)
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Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Deep Gradient Learning for Efficient Camouflaged Object Detection. CoRR abs/2205.12853 (2022)
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Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Luc Van Gool:
GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector. CoRR abs/2205.15469 (2022)
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Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool:
Gradient Obfuscation Checklist Test Gives a False Sense of Security. CoRR abs/2206.01705 (2022)
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Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. CoRR abs/2206.02146 (2022)
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Wouter Van Gansbeke, Simon Vandenhende, Luc Van Gool:
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation. CoRR abs/2206.06363 (2022)
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Bin Xia, Jingwen He, Yulun Zhang, Yucheng Hang, Wenming Yang, Luc Van Gool:
Residual Sparsity Connection Learning for Efficient Video Super-Resolution. CoRR abs/2206.07687 (2022)
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Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu:
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. CoRR abs/2206.08367 (2022)
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Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte:
3D-Aware Video Generation. CoRR abs/2206.14797 (2022)
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Tim Broedermann, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection. CoRR abs/2206.15157 (2022)
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Kevin Ta, David Brüggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool:
Lasers to Events: Automatic Extrinsic Calibration of Lidars and Event Cameras. CoRR abs/2207.01009 (2022)
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Jialun Pei, Tianyang Cheng, Deng-Ping Fan, He Tang, Chuanbo Chen, Luc Van Gool:
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers. CoRR abs/2207.02255 (2022)
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Suryansh Kumar, Luc Van Gool:
Organic Priors in Non-Rigid Structure from Motion. CoRR abs/2207.06262 (2022)
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David Brüggemann, Christos Sakaridis, Prune Truong, Luc Van Gool:
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions. CoRR abs/2207.06825 (2022)
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Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool:
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation. CoRR abs/2207.10436 (2022)
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Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. CoRR abs/2207.10765 (2022)
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Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-based Image Super-Resolution with Deformable Attention Transformer. CoRR abs/2207.11938 (2022)
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Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan:
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. CoRR abs/2208.06888 (2022)
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Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari:
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows. CoRR abs/2208.08932 (2022)
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Jiezhang Cao, Qin Wang, Jingyun Liang, Yulun Zhang, Kai Zhang, Luc Van Gool:
Practical Real Video Denoising with Realistic Degradation Model. CoRR abs/2208.11803 (2022)
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  - journals/corr/abs-2209-02250
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Gurkirt Singh, Vasileios Choutas, Suman Saha, Fisher Yu, Luc Van Gool:
Spatio-Temporal Action Detection Under Large Motion. CoRR abs/2209.02250 (2022)
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Muhammad Ferjad Naeem, Yongqin Xian, Luc Van Gool, Federico Tombari:
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification. CoRR abs/2209.10304 (2022)
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Yifan Lu, Gurkirt Singh, Suman Saha, Luc Van Gool:
Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection. CoRR abs/2209.15439 (2022)
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Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, Luc Van Gool:
TT-NF: Tensor Train Neural Fields. CoRR abs/2209.15529 (2022)
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Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Basic Binary Convolution Unit for Binarized Image Restoration Network. CoRR abs/2210.00405 (2022)
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Nishant Jain, Suryansh Kumar, Luc Van Gool:
Robustifying the Multi-Scale Representation of Neural Radiance Fields. CoRR abs/2210.04233 (2022)
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Yitong Xia, Hao Tang, Radu Timofte, Luc Van Gool:
SiNeRF: Sinusoidal Neural Radiance Fields for Joint Pose Estimation and Scene Reconstruction. CoRR abs/2210.04553 (2022)
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Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. CoRR abs/2210.07239 (2022)
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  - journals/corr/abs-2210-07670
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Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool:
Multi-View Photometric Stereo Revisited. CoRR abs/2210.07670 (2022)
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  - journals/corr/abs-2210-11557
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Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Alain Pagani, Didier Stricker, Muhammad Zeshan Afzal:
Learning Attention Propagation for Compositional Zero-Shot Learning. CoRR abs/2210.11557 (2022)
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Ge-Peng Ji, Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Christos Sakaridis, Luc Van Gool:
Masked Vision-Language Transformer in Fashion. CoRR abs/2210.15110 (2022)
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Nicola Marinello, Marc Proesmans, Luc Van Gool:
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM. CoRR abs/2210.16204 (2022)
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Hanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang:
Towards Versatile Embodied Navigation. CoRR abs/2210.16822 (2022)
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  - journals/corr/abs-2211-06263
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Andrey Ignatov, Grigory Malivenko, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. CoRR abs/2211.06263 (2022)
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Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. CoRR abs/2211.06770 (2022)
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Ren Yang, Radu Timofte, Luc Van Gool:
Advancing Learned Video Compression with In-loop Frame Prediction. CoRR abs/2211.07004 (2022)
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Piecewise Planar Hulls for Semi-Supervised Learning of 3D Shape and Pose from 2D Images. CoRR abs/2211.07491 (2022)
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Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein:
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models. CoRR abs/2211.12131 (2022)
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Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool:
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CoRR abs/2211.14461 (2022)
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Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. CoRR abs/2211.16928 (2022)
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Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool:
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CoRR abs/2212.01322 (2022)
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Nikola Popovic, Danda Pani Paudel, Luc Van Gool:
Neural Radiance Fields for Manhattan Scenes with Unknown Manhattan Frame. CoRR abs/2212.01331 (2022)
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Muhammad Ferjad Naeem, Muhammad Gul Zain Ali Khan, Yongqin Xian, Muhammad Zeshan Afzal, Didier Stricker, Luc Van Gool, Federico Tombari:
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification. CoRR abs/2212.02291 (2022)
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Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CoRR abs/2212.04362 (2022)
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Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool:
Source-free Depth for Object Pop-out. CoRR abs/2212.05370 (2022)
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Bowen Yin, Xuying Zhang, Qibin Hou, Boyuan Sun, Deng-Ping Fan, Luc Van Gool:
CamoFormer: Masked Separable Attention for Camouflaged Object Detection. CoRR abs/2212.06570 (2022)
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Rui Gong, Qin Wang, Dengxin Dai, Luc Van Gool:
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers. CoRR abs/2212.07292 (2022)
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Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova:
Beyond SOT: It's Time to Track Multiple Generic Objects at Once. CoRR abs/2212.11920 (2022)
2021
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Shurong Sheng, Katrien Laenen, Luc Van Gool, Marie-Francine Moens:
Fine-Grained Cross-Modal Retrieval for Cultural Items with Focal Attention and Hierarchical Encodings. Comput. 10(9): 105 (2021)
[j154]
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Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory. Int. J. Comput. Vis. 129(1): 246-266 (2021)
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Dengxin Dai, Robby T. Tan, Vishal Patel, Jiri Matas, Bernt Schiele, Luc Van Gool:
Guest Editorial: Special Issue on "Computer Vision for All Seasons: Adverse Weather and Lighting Conditions". Int. J. Comput. Vis. 129(7): 2031-2033 (2021)
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Yuhua Chen, Haoran Wang, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Scale-Aware Domain Adaptive Faster R-CNN. Int. J. Comput. Vis. 129(7): 2223-2243 (2021)
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Rui Gong, Wen Li, Yuhua Chen, Dengxin Dai, Luc Van Gool:
DLOW: Domain Flow and Applications. Int. J. Comput. Vis. 129(10): 2865-2888 (2021)
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Dong Xu, Rama Chellappa, Luc Van Gool, Guo Lu:
Guest Editorial: Special Issue on Deep Learning for Video Analysis and Compression. Int. J. Comput. Vis. 129(12): 3171-3173 (2021)
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Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte:
Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model. IEEE J. Sel. Top. Signal Process. 15(2): 388-401 (2021)
[j148]
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Timothy Callemein, Tom Roussel, Ali Diba, Floris De Feyter, Wim Boes, Luc Van Eycken, Luc Van Gool, Hugo Van hamme, Tinne Tuytelaars, Toon Goedemé:
Show me where the action is! Multim. Tools Appl. 80(1): 383-408 (2021)
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Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool:
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. IEEE Robotics Autom. Lett. 6(3): 4321-4328 (2021)
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Liqian Ma, Lingjie Liu, Christian Theobalt, Luc Van Gool:
Direct Dense Pose Estimation. 3DV 2021: 721-730
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  - conf/3dim/TakmazPPCOG21
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Ayça Takmaz, Danda Pani Paudel, Thomas Probst, Ajad Chhatkuli, Martin R. Oswald, Luc Van Gool:
Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes. 3DV 2021: 825-836
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Janis Postels, Mengya Liu, Riccardo Spezialetti, Luc Van Gool, Federico Tombari:
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction. 3DV 2021: 1249-1258
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Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool:
Analogical Image Translation for Fog Generation. AAAI 2021: 1433-1441
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  - conf/aaai/WuLHZG21
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Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool:
Neural Architecture Search as Sparse Supernet. AAAI 2021: 10379-10387
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Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool:
Spectral Tensor Train Parameterization of Deep Learning Layers. AISTATS 2021: 3547-3555
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Ce Liu, Shuhang Gu, Luc Van Gool, Radu Timofte:
Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction. BMVC 2021: 354
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  - conf/cvpr/WolfLDGT21
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Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows. CVPR 2021: 94-103
[c710]
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Stefano d'Apolito, Danda Pani Paudel, Zhiwu Huang, Andrés Romero, Luc Van Gool:
GANmut: Learning Interpretable Conditional Space for Gamut of Emotions. CVPR 2021: 568-577
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Florin-Alexandru Vasluianu, Andrés Romero, Luc Van Gool, Radu Timofte:
Shadow Removal With Paired and Unpaired Learning. CVPR Workshops 2021: 826-835
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  - conf/cvpr/ZhouWL0G21
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Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc Van Gool:
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing. CVPR 2021: 1622-1631
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Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures. CVPR 2021: 2144-2153
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Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool:
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. CVPR 2021: 3804-3814
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Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Jürgen Gall:
3D CNNs With Adaptive Temporal Feature Resolutions. CVPR 2021: 4731-4740
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Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When To Trust Them. CVPR 2021: 5714-5724
[c703]
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  - conf/cvpr/PopovicPPSG21
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Nikola Popovic, Danda Pani Paudel, Thomas Probst, Guolei Sun, Luc Van Gool:
CompositeTasking: Understanding Images by Spatial Composition of Tasks. CVPR 2021: 6870-6880
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Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool:
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. CVPR 2021: 8197-8207
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Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool:
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. CVPR 2021: 8344-8354
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. CVPR 2021: 9209-9218
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Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte:
Flow-Based Kernel Prior With Application to Blind Super-Resolution. CVPR 2021: 10601-10610
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  - conf/cvpr/HoyerDCKSG21
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Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool:
Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation. CVPR 2021: 11130-11140
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  - conf/cvpr/SarfrazM0DGS21
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M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen:
Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. CVPR 2021: 11225-11234
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Mohamad Shahbazi, Zhiwu Huang, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool:
Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes. CVPR 2021: 12167-12176
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  - conf/fgr/PanwarSSPG21
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Ankush Panwar, Pratyush Singh, Suman Saha, Danda Pani Paudel, Luc Van Gool:
Unsupervised Compound Domain Adaptation for Face Anti-Spoofing. FG 2021: 1-8
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Ali Diba, Vivek Sharma, Reza Safdari, Dariush Lotfi, M. Saquib Sarfraz, Rainer Stiefelhagen, Luc Van Gool:
Vi²CLR: Video and Image for Visual Contrastive Learning of Representation. ICCV 2021: 1482-1492
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Dario Fuoli, Luc Van Gool, Radu Timofte:
Fourier Space Losses for Efficient Perceptual Image Super-Resolution. ICCV 2021: 2340-2349
[c692]
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Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. ICCV 2021: 2440-2450
[c691]
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Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool:
Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection. ICCV 2021: 3273-3282
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Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory S. Chirikjian, Luc Van Gool:
Towards Efficient Graph Convolutional Networks for Point Cloud Handling. ICCV 2021: 3732-3742
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Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte:
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. ICCV 2021: 4056-4065
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Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. ICCV 2021: 4076-4085
[c687]
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Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte:
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. ICCV 2021: 4771-4780
[c686]
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Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool:
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. ICCV 2021: 7283-7293
[c685]
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Shipra Jain, Danda Pani Paudel, Martin Danelljan, Luc Van Gool:
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU. ICCV 2021: 7406-7416
[c684]
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Guolei Sun, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Menelaos Kanakis, Jagruti Patel, Dengxin Dai, Luc Van Gool:
Task Switching Network for Multi-task Learning. ICCV 2021: 8271-8280
[c683]
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Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink:
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. ICCV 2021: 8495-8505
[c682]
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Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool:
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. ICCV 2021: 8856-8865
[c681]
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Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. ICCV 2021: 10032-10042
[c680]
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Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Warp Consistency for Unsupervised Learning of Dense Correspondences. ICCV 2021: 10326-10336
[c679]
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Christos Sakaridis, Dengxin Dai, Luc Van Gool:
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. ICCV 2021: 10745-10755
[c678]
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Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool:
Learning Target Candidate Association to Keep Track of What Not to Track. ICCV 2021: 13424-13434
[c677]
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Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos. ICCV 2021: 13536-13546
[c676]
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Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021: 15202-15212
[c675]
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Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. ICCV 2021: 15263-15272
[c674]
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Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool:
Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images. ICCV 2021: 15641-15650
[c673]
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David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. ICCV 2021: 15849-15858
[c672]
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Jonas Heylen, Mark De Wolf, Bruno Dawagne, Marc Proesmans, Luc Van Gool, Wim Abbeloos, Hazem Abdelkawy, Daniel Olmeda Reino:
MonoCInIS: Camera Independent Monocular 3D Object Detection using Instance Segmentation. ICCVW 2021: 923-934
[c671]
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Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. ICCVW 2021: 1833-1844
[c670]
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Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez:
Generalized Real-World Super-Resolution through Adversarial Robustness. ICCVW 2021: 1855-1865
[c669]
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Andrés Romero, Luc Van Gool, Radu Timofte:
SMILE: Semantically-guided Multi-attribute Image and Layout Editing. ICCVW 2021: 1924-1933
[c668]
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Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738
[c667]
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Zhihao Liu, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Junwen Pan, Baoqun Yin, Binyu Zhang, Chengxin Liu, Ding Ding, Dingkang Liang, Guanchen Ding, Hao Lu, Hui Lin, Jingyuan Chen, Jiong Li, Liang Liu, Lin Zhou, Min Shi, Qianqian Yang, Qing He, Sifan Peng, Wei Xu, Wenwei Han, Xiang Bai, Xiwu Chen, Yabin Wang, Yinfeng Xia, Yiran Tao, Zhenzhong Chen, Zhiguo Cao:
VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. ICCVW 2021: 2830-2838
[c666]
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Guanlin Chen, Wenguan Wang, Zhijian He, Lujia Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven Chu-Hong Hoi, Qinghua Hu, Ming Liu, Andrea Sciarrone, Chao Sun, Chiara Garibotto, Duong Nguyen-Ngoc Tran, Fabio Lavagetto, Halar Haleem, Hakki Motorcu, Hasan F. Ates, Huy-Hung Nguyen, Hyung-Joon Jeon, Igor Bisio, Jae Wook Jeon, Jiahao Li, Long Hoang Pham, Moongu Jeon, Qianyu Feng, Shengwen Li, Tai Huu-Phuong Tran, Xiao Pan, Young-Min Song, Yuehan Yao, Yunhao Du, Zhenyu Xu, Zhipeng Luo:
VisDrone-MOT2021: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCVW 2021: 2839-2846
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Yaru Cao, Zhijian He, Lujia Wang, Wenguan Wang, Yixuan Yuan, Dingwen Zhang, Jinglin Zhang, Pengfei Zhu, Luc Van Gool, Junwei Han, Steven C. H. Hoi, Qinghua Hu, Ming Liu, Chong Cheng, Fanfan Liu, Guojin Cao, Guozhen Li, Hongkai Wang, Jianye He, Junfeng Wan, Qi Wan, Qi Zhao, Shuchang Lyu, Wenzhe Zhao, Xiaoqiang Lu, Xingkui Zhu, Yingjie Liu, Yixuan Lv, Yujing Ma, Yuting Yang, Zhe Wang, Zhenyu Xu, Zhipeng Luo, Zhimin Zhang, Zhiguang Zhang, Zihao Li, Zixiao Zhang:
VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results. ICCVW 2021: 2847-2854
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Francesco Banterle, Rui Gong, Massimiliano Corsini, Fabio Ganovelli, Luc Van Gool, Paolo Cignoni:
A Deep Learning Method for Frame Selection in Videos for Structure from Motion Pipelines. ICIP 2021: 3667-3671
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Eugenio Chisari, Alexander Liniger, Alisa Rupenyan, Luc Van Gool, John Lygeros:
Learning from Simulation, Racing in Reality. ICRA 2021: 8046-8052
[c662]
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Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Fast Few-Shot Classification by Few-Iteration Meta-Learning. ICRA 2021: 9522-9528
[c661]
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Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Erik Goron Endsjo, Yan Wu, Luc Van Gool:
Neural Architecture Search of SPD Manifold Networks. IJCAI 2021: 3002-3009
[c660]
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Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte:
Local Memory Attention for Fast Video Semantic Segmentation. IROS 2021: 1102-1109
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Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool:
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction. IROS 2021: 5937-5943
[c658]
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Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. NeurIPS 2021: 16238-16250
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Siwei Zhang, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool:
Facial Emotion Recognition with Noisy Multi-task Annotations. WACV 2021: 21-31
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Yevhen Kuznietsov</