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Martin Danelljan

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Books and Theses

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2018
[b1]
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Martin Danelljan:
Learning Convolution Operators for Visual Tracking. Linköping University, Sweden, 2018

Journal Articles

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2023
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Emil Brissman, Joakim Johnander, Martin Danelljan, Michael Felsberg:
Recurrent Graph Neural Networks for Video Instance Segmentation. Int. J. Comput. Vis. 131(2): 471-495 (2023)
[j7]
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Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas:
Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6552-6574 (2023)
[j6]
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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)
[j5]
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Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? Trans. Mach. Learn. Res. 2023 (2023)
2022
[j4]
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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)
2019
[j3]
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Martin Danelljan, Goutam Bhat, Susanna Gladh, Fahad Shahbaz Khan, Michael Felsberg:
Deep motion and appearance cues for visual tracking. Pattern Recognit. Lett. 124: 74-81 (2019)
[j2]
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Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Synthetic Data Generation for End-to-End Thermal Infrared Tracking. IEEE Trans. Image Process. 28(4): 1837-1850 (2019)
2017
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Scale Space Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1561-1575 (2017)

Conference and Workshop Papers

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2024
[c113]
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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
[c112]
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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
[c111]
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Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Chenyu You, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu:
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects. ICLR 2024
[c110]
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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
[c109]
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Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu:
Flexible Residual Binarization for Image Super-Resolution. ICML 2024
[c108]
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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
[c107]
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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
2023
[c106]
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Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu:
OVTrack: Open-Vocabulary Multiple Object Tracking. CVPR 2023: 5567-5577
[c105]
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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
[c104]
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Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Mask-Free Video Instance Segmentation. CVPR 2023: 22857-22866
[c103]
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Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu:
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras. ICCV 2023: 3193-3203
[c102]
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Mingqiao Ye, Lei Ke, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu:
Cascade-DETR: Delving into High-Quality Universal Object Detection. ICCV 2023: 6681-6691
[c101]
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Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valéry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu:
MolGrapher: Graph-based Visual Recognition of Chemical Structures. ICCV 2023: 19495-19504
[c100]
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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
[c99]
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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
[c98]
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Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Segment Anything in High Quality. NeurIPS 2023
[c97]
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Haotong Qin, Lei Ke, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu:
BiMatting: Efficient Video Matting via Binarization. NeurIPS 2023
[c96]
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Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu:
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution. NeurIPS 2023
[c95]
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Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool:
Efficient Visual Tracking with Exemplar Transformers. WACV 2023: 1571-1581
[c94]
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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
2022
[c93]
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Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari:
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows. 3DV 2022: 84-93
[c92]
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Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Learning Proposals for Practical Energy-Based Regression. AISTATS 2022: 4685-4704
[c91]
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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
[c90]
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Andreas Lugmayr, Martin Danelljan, Radu Timofte, Kang-Wook Kim, Younggeun Kim, Jae-Young Lee, Zechao Li, Jinshan Pan, Dongseok Shim, Ki-Ung Song, Jinhui Tang, Cong Wang, Zhihao Zhao:
NTIRE 2022 Challenge on Learning the Super-Resolution Space. CVPR Workshops 2022: 785-796
[c89]
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Goutam Bhat, Martin Danelljan, Radu Timofte, Yizhen Cao, Yuntian Cao, Meiya Chen, Xihao Chen, Shen Cheng, Akshay Dudhane, Haoqiang Fan, Ruipeng Gang, Jian Gao, Yan Gu, Jie Huang, Liufeng Huang, Youngsu Jo, Sukju Kang, Salman Khan, Fahad Shahbaz Khan, Yuki Kondo, Chenghua Li, Fangya Li, Jinjing Li, Youwei Li, Zechao Li, Chenming Liu, Shuaicheng Liu, Zikun Liu, Zhuoming Liu, Ziwei Luo, Zhengxiong Luo, Nancy Mehta, Subrahmanyam Murala, Yoonchan Nam, Chihiro Nakatani, Pavel Ostyakov, Jinshan Pan, Ge Song, Jian Sun, Long Sun, Jinhui Tang, Norimichi Ukita, Zhihong Wen, Qi Wu, Xiaohe Wu, Zeyu Xiao, Zhiwei Xiong, Rongjian Xu, Ruikang Xu, Youliang Yan, Jialin Yang, Wentao Yang, Zhongbao Yang, Fuma Yasue, Mingde Yao, Lei Yu, Cong Zhang, Syed Waqas Zamir, Jianxing Zhang, Shuohao Zhang, Zhilu Zhang, Qian Zheng, Gaofeng Zhou, Magauiya Zhussip, Xueyi Zou, Wangmeng Zuo:
NTIRE 2022 Burst Super-Resolution Challenge. CVPR Workshops 2022: 1040-1060
[c88]
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Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Mask Transfiner for High-Quality Instance Segmentation. CVPR 2022: 4402-4411
[c87]
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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
[c86]
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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
[c85]
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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
[c84]
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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
[c83]
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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
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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
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Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. ECCV (29) 2022: 217-234
[c80]
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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, Zhen-Hua 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
[c79]
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Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu:
Tracking Every Thing in the Wild. ECCV (22) 2022: 498-515
[c78]
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Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool:
Robust Visual Tracking by Segmentation. ECCV (22) 2022: 571-588
[c77]
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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
[c76]
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Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Video Mask Transfiner for High-Quality Video Instance Segmentation. ECCV (28) 2022: 731-747
[c75]
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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
[c74]
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Yihang She, Goutam Bhat, Martin Danelljan, Fisher Yu:
Fast Hierarchical Learning for Few-Shot Object Detection. IROS 2022: 1993-2000
[c73]
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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
2021
[c72]
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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
[c71]
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Andreas Lugmayr, Martin Danelljan, Radu Timofte:
NTIRE 2021 Learning the Super-Resolution Space Challenge. CVPR Workshops 2021: 596-612
[c70]
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Goutam Bhat, Martin Danelljan, Radu Timofte:
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CVPR Workshops 2021: 613-626
[c69]
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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
[c68]
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Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Accurate 3D Object Detection Using Energy-Based Models. CVPR Workshops 2021: 2855-2864
[c67]
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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
[c66]
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. CVPR 2021: 9209-9218
[c65]
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Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg:
Video Instance Segmentation with Recurrent Graph Neural Networks. GCPR 2021: 206-221
[c64]
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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
[c63]
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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
[c62]
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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
[c61]
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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
[c60]
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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
[c59]
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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
[c58]
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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, Zhen-Hua 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
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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
[c56]
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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
[c55]
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Lei Ke, Xia Li, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation. NeurIPS 2021: 1192-1203
2020
[c54]
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Fredrik Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön:
How to Train Your Energy-Based Model for Regression. BMVC 2020
[c53]
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Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. CVPR Workshops 2020: 1289-1298
[c52]
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Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen:
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. CVPR Workshops 2020: 1962-1974
[c51]
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Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou:
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. CVPR Workshops 2020: 2058-2076
[c50]
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Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun:
Learning Human-Object Interaction Detection Using Interaction Points. CVPR 2020: 4115-4124
[c49]
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Prune Truong, Martin Danelljan, Radu Timofte:
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences. CVPR 2020: 6257-6267
[c48]
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Martin Danelljan, Luc Van Gool, Radu Timofte:
Probabilistic Regression for Visual Tracking. CVPR 2020: 7181-7190
[c47]
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Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. CVPR 2020: 7404-7413
[c46]
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Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40
[c45]
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Know Your Surroundings: Exploiting Scene Information for Object Tracking. ECCV (23) 2020: 205-221
[c44]
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Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön:
Energy-Based Models for Deep Probabilistic Regression. ECCV (20) 2020: 325-343
[c43]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601
[c42]
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Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool:
Video Object Segmentation with Episodic Graph Memory Networks. ECCV (3) 2020: 661-679
[c41]
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Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
SRFlow: Learning the Super-Resolution Space with Normalizing Flow. ECCV (5) 2020: 715-732
[c40]
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Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte:
Learning What to Learn for Video Object Segmentation. ECCV (2) 2020: 777-794
[c39]
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Alexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu Timofte:
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation. NeurIPS 2020
[c38]
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Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network. NeurIPS 2020
2019
[c37]
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Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Tracking the Known and the Unknown by Leveraging Semantic Information. BMVC 2019: 292
[c36]
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Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ATOM: Accurate Tracking by Overlap Maximization. CVPR 2019: 4660-4669
[c35]
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Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg:
A Generative Appearance Model for End-To-End Video Object Segmentation. CVPR 2019: 8953-8962
[c34]
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Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Learning the Model Update for Siamese Trackers. ICCV 2019: 4009-4018
[c33]
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Discriminative Model Prediction for Tracking. ICCV 2019: 6181-6190
[c32]
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Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241
[c31]
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Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Multi-Modal Fusion for End-to-End RGB-T Tracking. ICCV Workshops 2019: 2252-2261
[c30]
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Andreas Lugmayr, Martin Danelljan, Radu Timofte:
Unsupervised Learning for Real-World Super-Resolution. ICCV Workshops 2019: 3408-3416
[c29]
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Shuhang Gu, Andreas Lugmayr, Martin Danelljan, Manuel Fritsche, Julien Lamour, Radu Timofte:
DIV8K: DIVerse 8K Resolution Image Dataset. ICCV Workshops 2019: 3512-3516
[c28]
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Shuhang Gu, Hanwen Liu, Dan Zhu, Tangxin Xie, Xin Yang, Chen Zhu, Jia Yu, Wenyu Sun, Xin Tao, Zijun Deng, Liying Lu, Martin Danelljan, Wenbo Li, Taian Guo, Xiaoyong Shen, Xuemiao Xu, Yu-Wing Tai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Radu Timofte, Jiayi Ma, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Wan-Chi Siu, Yui-Lam Chan, Ruofan Zhou, Majed El Helou, Kuldeep Purohit, Praveen Kandula, Muhammad Haris, Maitreya Suin, A. N. Rajagopalan, Kazutoshi Akita, Greg Shakhnarovich, Norimichi Ukita, Pablo Navarrete Michelini, Wenbin Chen:
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3556-3564
[c27]
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Andreas Lugmayr, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Martin Danelljan, Xinbo Gao, Sefi Bell-Kligler, Assaf Shocher, Michal Irani, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. ICCV Workshops 2019: 3575-3583
[c26]
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Sohyeong Kim, Guanju Li, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Shuhang Gu, Radu Timofte:
The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping. ICCV Workshops 2019: 3609-3616
2018
[c25]
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Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Combining Local and Global Models for Robust Re-detection. AVSS 2018: 1-6
[c24]
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Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg:
Density Adaptive Point Set Registration. CVPR 2018: 3829-3837
[c23]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53
[c22]
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Joakim Johnander, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
On the Optimization of Advanced DCF-Trackers. ECCV Workshops (1) 2018: 54-69
[c21]
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Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Unveiling the Power of Deep Tracking. ECCV (2) 2018: 493-509
2017
[c20]
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Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking. CAIP (1) 2017: 55-67
[c19]
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Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
Deep Projective 3D Semantic Segmentation. CAIP (1) 2017: 95-107
[c18]
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Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ECO: Efficient Convolution Operators for Tracking. CVPR 2017: 6931-6939
[c17]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He:
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972
2016
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. CVPR 2016: 1430-1438
[c15]
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Martin Danelljan, Giulia Meneghetti, Fahad Shahbaz Khan, Michael Felsberg:
A Probabilistic Framework for Color-Based Point Set Registration. CVPR 2016: 1818-1826
[c14]
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Martin Danelljan, Andreas Robinson, Fahad Shahbaz Khan, Michael Felsberg:
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. ECCV (5) 2016: 472-488
[c13]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823
[c12]
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Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomás Vojír, Alan Lukezic, Gustavo Fernández, Alfredo Petrosino, Álvaro García-Martín, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, José M. Martínez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He:
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. ECCV Workshops (2) 2016: 824-849
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Martin Danelljan, Giulia Meneghetti, Fahad Shahbaz Khan, Michael Felsberg:
Aligning the dissimilar: A probabilistic method for feature-based point set registration. ICPR 2016: 247-252
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Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Deep motion features for visual tracking. ICPR 2016: 1243-1248
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Gustav Häger, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Piotr Rudol, Patrick Doherty:
Combining Visual Tracking and Person Detection for Long Term Tracking on a UAV. ISVC (1) 2016: 557-568
2015
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Learning Spatially Regularized Correlation Filters for Visual Tracking. ICCV 2015: 4310-4318
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Convolutional Features for Correlation Filter Based Visual Tracking. ICCV Workshops 2015: 621-629
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Coloring Channel Representations for Visual Tracking. SCIA 2015: 117-129
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Giulia Meneghetti, Martin Danelljan, Michael Felsberg, Klas Nordberg:
Image Alignment for Panorama Stitching in Sparsely Structured Environments. SCIA 2015: 428-439
2014
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Accurate Scale Estimation for Robust Visual Tracking. BMVC 2014
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Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Joost van de Weijer:
Adaptive Color Attributes for Real-Time Visual Tracking. CVPR 2014: 1090-1097
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Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu:
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 2014: 191-217
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Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Karl Granström, Fredrik Heintz, Piotr Rudol, Mariusz Wzorek, Jonas Kvarnström, Patrick Doherty:
A Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems. ECCV Workshops (1) 2014: 223-237

Informal and Other Publications

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2024
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Ani Vanyan, Alvard Barseghyan, Hakob Tamazyan, Vahan Huroyan, Hrant Khachatrian, Martin Danelljan:
Analyzing Local Representations of Self-supervised Vision Transformers. CoRR abs/2401.00463 (2024)
[i95]
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  - journals/corr/abs-2403-17937
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Abdelrahman M. Shaker, Syed Talal Wasim, Martin Danelljan, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Efficient Video Object Segmentation via Modulated Cross-Attention Memory. CoRR abs/2403.17937 (2024)
[i94]
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  - journals/corr/abs-2406-04221
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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)
[i93]
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  - journals/corr/abs-2407-18695
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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)
[i92]
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  - journals/corr/abs-2409-11235
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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)
2023
[i91]
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  - journals/corr/abs-2302-03679
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Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? CoRR abs/2302.03679 (2023)
[i90]
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  - journals/corr/abs-2303-12865
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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)
[i89]
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  - journals/corr/abs-2303-15904
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Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Mask-Free Video Instance Segmentation. CoRR abs/2303.15904 (2023)
[i88]
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  - journals/corr/abs-2304-08408
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Siyuan Li, Tobias Fischer, Lei Ke, Henghui Ding, Martin Danelljan, Fisher Yu:
OVTrack: Open-Vocabulary Multiple Object Tracking. CoRR abs/2304.08408 (2023)
[i87]
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  - journals/corr/abs-2305-00599
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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)
[i86]
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  - journals/corr/abs-2306-01567
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Lei Ke, Mingqiao Ye, Martin Danelljan, Yifan Liu, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Segment Anything in High Quality. CoRR abs/2306.01567 (2023)
[i85]
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  - journals/corr/abs-2307-01197
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Frano Rajic, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu:
Segment Anything Meets Point Tracking. CoRR abs/2307.01197 (2023)
[i84]
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  - journals/corr/abs-2307-02138
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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)
[i83]
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  - journals/corr/abs-2307-11035
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Mingqiao Ye, Lei Ke, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu:
Cascade-DETR: Delving into High-Quality Universal Object Detection. CoRR abs/2307.11035 (2023)
[i82]
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  - journals/corr/abs-2308-03166
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Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li, Martin Danelljan, Fisher Yu:
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects. CoRR abs/2308.03166 (2023)
[i81]
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  - journals/corr/abs-2308-12234
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Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valéry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu:
MolGrapher: Graph-based Visual Recognition of Chemical Structures. CoRR abs/2308.12234 (2023)
[i80]
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  - journals/corr/abs-2308-14713
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Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu:
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras. CoRR abs/2308.14713 (2023)
[i79]
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  - journals/corr/abs-2310-12153
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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)
[i78]
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  - journals/corr/abs-2312-00732
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Mingqiao Ye, Martin Danelljan, Fisher Yu, Lei Ke:
Gaussian Grouping: Segment and Edit Anything in 3D Scenes. CoRR abs/2312.00732 (2023)
[i77]
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  - journals/corr/abs-2312-11578
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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)
2022
[i76]
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  - journals/corr/abs-2201-06578
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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)
[i75]
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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)
[i74]
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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)
[i73]
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  - journals/corr/abs-2202-08837
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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)
[i72]
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  - journals/corr/abs-2203-04279
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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)
[i71]
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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)
[i70]
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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)
[i69]
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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)
[i68]
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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)
[i67]
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  - journals/corr/abs-2207-12978
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Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu:
Tracking Every Thing in the Wild. CoRR abs/2207.12978 (2022)
[i66]
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  - journals/corr/abs-2207-14012
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Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Video Mask Transfiner for High-Quality Video Instance Segmentation. CoRR abs/2207.14012 (2022)
[i65]
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  - journals/corr/abs-2208-06888
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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)
[i64]
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  - journals/corr/abs-2208-08932
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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)
[i63]
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  - journals/corr/abs-2210-05008
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Yihang She, Goutam Bhat, Martin Danelljan, Fisher Yu:
Fast Hierarchical Learning for Few-Shot Object Detection. CoRR abs/2210.05008 (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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Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Accurate Dense Correspondences and When to Trust Them. CoRR abs/2101.01710 (2021)
[i60]
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Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte:
Local Memory Attention for Fast Video Semantic Segmentation. CoRR abs/2101.01715 (2021)
[i59]
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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. CoRR abs/2101.02196 (2021)
[i58]
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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. CoRR abs/2101.05796 (2021)
[i57]
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Deep Burst Super-Resolution. CoRR abs/2101.10997 (2021)
[i56]
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Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan:
Deep Gaussian Processes for Few-Shot Segmentation. CoRR abs/2103.16549 (2021)
[i55]
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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. CoRR abs/2103.16556 (2021)
[i54]
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Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool:
Warp Consistency for Unsupervised Learning of Dense Correspondences. CoRR abs/2104.03308 (2021)
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Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc Van Gool:
Learnable Online Graph Representations for 3D Multi-Object Tracking. CoRR abs/2104.11747 (2021)
[i52]
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  - journals/corr/abs-2106-03839
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Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li, Shuaicheng Liu, Ziluan Liu, Ziwei Luo, Takahiro Maeda, Julien Mairal, Christian Micheloni, Xuan Mo, Takeru Oba, Pavel Ostyakov, Jean Ponce, Sanghyeok Son, Jian Sun, Norimichi Ukita, Rao Muhammad Umer, Youliang Yan, Lei Yu, Magauiya Zhussip, Xueyi Zou:
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CoRR abs/2106.03839 (2021)
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Lei Ke, Xia Li, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation. CoRR abs/2106.11958 (2021)
[i50]
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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. CoRR abs/2108.05301 (2021)
[i49]
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Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte:
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. CoRR abs/2108.08286 (2021)
[i48]
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Rui Gong, Martin Danelljan, Dengxin Dai, Wenguan Wang, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool:
TADA: Taxonomy Adaptive Domain Adaptation. CoRR abs/2109.04813 (2021)
[i47]
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Prune Truong, Martin Danelljan, Radu Timofte, Luc Van Gool:
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network. CoRR abs/2109.13912 (2021)
[i46]
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Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. CoRR abs/2110.03674 (2021)
[i45]
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Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Learning Proposals for Practical Energy-Based Regression. CoRR abs/2110.11948 (2021)
[i44]
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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. CoRR abs/2111.03649 (2021)
[i43]
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Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu:
Mask Transfiner for High-Quality Instance Segmentation. CoRR abs/2111.13673 (2021)
[i42]
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Sajid Javed, Martin Danelljan, Fahad Shahbaz Khan, Muhammad Haris Khan, Michael Felsberg, Jiri Matas:
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook. CoRR abs/2112.02838 (2021)
[i41]
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Philippe Blatter, Menelaos Kanakis, Martin Danelljan, Luc Van Gool:
Efficient Visual Tracking with Exemplar Transformers. CoRR abs/2112.09686 (2021)
2020
[i40]
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  - journals/corr/abs-2003-00908
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Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Learning Fast and Robust Target Models for Video Object Segmentation. CoRR abs/2003.00908 (2020)
[i39]
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Know Your Surroundings: Exploiting Scene Information for Object Tracking. CoRR abs/2003.11014 (2020)
[i38]
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Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte:
Learning What to Learn for Video Object Segmentation. CoRR abs/2003.11540 (2020)
[i37]
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Martin Danelljan, Luc Van Gool, Radu Timofte:
Probabilistic Regression for Visual Tracking. CoRR abs/2003.12565 (2020)
[i36]
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Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun:
Learning Human-Object Interaction Detection using Interaction Points. CoRR abs/2003.14023 (2020)
[i35]
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Fredrik K. Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön:
How to Train Your Energy-Based Model for Regression. CoRR abs/2005.01698 (2020)
[i34]
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  - journals/corr/abs-2005-01996
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Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou:
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR abs/2005.01996 (2020)
[i33]
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Dario Fuoli, Zhiwu Huang, Martin Danelljan, Radu Timofte, Hua Wang, Longcun Jin, Dewei Su, Jing Liu, Jaehoon Lee, Michal Kudelski, Lukasz Bala, Dmitry Hrybov, Marcin Mozejko, Muchen Li, Siyao Li, Bo Pang, Cewu Lu, Chao Li, Dongliang He, Fu Li, Shilei Wen:
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results. CoRR abs/2005.02291 (2020)
[i32]
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Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
SRFlow: Learning the Super-Resolution Space with Normalizing Flow. CoRR abs/2006.14200 (2020)
[i31]
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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 Dissimilated Network Architecture. CoRR abs/2006.16242 (2020)
[i30]
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Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool:
Video Object Segmentation with Episodic Graph Memory Networks. CoRR abs/2007.07020 (2020)
[i29]
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Alexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu Timofte:
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation. CoRR abs/2007.11301 (2020)
[i28]
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  - journals/corr/abs-2009-06943
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Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020)
[i27]
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Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte:
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network. CoRR abs/2009.07823 (2020)
[i26]
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  - journals/corr/abs-2010-00511
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Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte:
Few-Shot Classification By Few-Iteration Meta-Learning. CoRR abs/2010.00511 (2020)
[i25]
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  - journals/corr/abs-2012-03911
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Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg:
Learning Video Instance Segmentation with Recurrent Graph Neural Networks. CoRR abs/2012.03911 (2020)
[i24]
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  - journals/corr/abs-2012-04634
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Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Accurate 3D Object Detection using Energy-Based Models. CoRR abs/2012.04634 (2020)
[i23]
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  - journals/corr/abs-2012-07489
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Shipra Jain, Danda Pani Paudel, Martin Danelljan, Luc Van Gool:
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU. CoRR abs/2012.07489 (2020)
2019
[i22]
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  - journals/corr/abs-1904-07220
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Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte:
Learning Discriminative Model Prediction for Tracking. CoRR abs/1904.07220 (2019)
[i21]
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Andreas Robinson, Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Online Learning for Fast Video Object Segmentation. CoRR abs/1904.08630 (2019)
[i20]
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Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. CoRR abs/1906.01620 (2019)
[i19]
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Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Learning the Model Update for Siamese Trackers. CoRR abs/1908.00855 (2019)
[i18]
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  - journals/corr/abs-1908-11714
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Lichao Zhang, Martin Danelljan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Multi-Modal Fusion for End-to-End RGB-T Tracking. CoRR abs/1908.11714 (2019)
[i17]
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  - journals/corr/abs-1909-09629
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Andreas Lugmayr, Martin Danelljan, Radu Timofte:
Unsupervised Learning for Real-World Super-Resolution. CoRR abs/1909.09629 (2019)
[i16]
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  - journals/corr/abs-1909-12297
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Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön:
DCTD: Deep Conditional Target Densities for Accurate Regression. CoRR abs/1909.12297 (2019)
[i15]
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  - journals/corr/abs-1911-07783
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Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler:
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR abs/1911.07783 (2019)
[i14]
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  - journals/corr/abs-1912-05524
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Prune Truong, Martin Danelljan, Radu Timofte:
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences. CoRR abs/1912.05524 (2019)
2018
[i13]
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  - journals/corr/abs-1804-01495
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Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg:
Density Adaptive Point Set Registration. CoRR abs/1804.01495 (2018)
[i12]
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  - journals/corr/abs-1804-06833
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Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Unveiling the Power of Deep Tracking. CoRR abs/1804.06833 (2018)
[i11]
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  - journals/corr/abs-1806-01013
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Lichao Zhang, Abel Gonzalez-Garcia, Joost van de Weijer, Martin Danelljan, Fahad Shahbaz Khan:
Synthetic data generation for end-to-end thermal infrared tracking. CoRR abs/1806.01013 (2018)
[i10]
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  - journals/corr/abs-1811-07628
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Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ATOM: Accurate Tracking by Overlap Maximization. CoRR abs/1811.07628 (2018)
[i9]
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  - journals/corr/abs-1811-11611
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Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg:
A Generative Appearance Model for End-to-end Video Object Segmentation. CoRR abs/1811.11611 (2018)
2017
[i8]
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Felix Järemo Lawin, Martin Danelljan, Patrik Tosteberg, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
Deep Projective 3D Semantic Segmentation. CoRR abs/1705.03428 (2017)
[i7]
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Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
DCCO: Towards Deformable Continuous Convolution Operators. CoRR abs/1706.02888 (2017)
2016
[i6]
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  - journals/corr/DanelljanRKF16
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Martin Danelljan, Andreas Robinson, Fahad Shahbaz Khan, Michael Felsberg:
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. CoRR abs/1608.03773 (2016)
[i5]
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Learning Spatially Regularized Correlation Filters for Visual Tracking. CoRR abs/1608.05571 (2016)
[i4]
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. CoRR abs/1609.06118 (2016)
[i3]
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Martin Danelljan, Gustav Häger, Fahad Shahbaz Khan, Michael Felsberg:
Discriminative Scale Space Tracking. CoRR abs/1609.06141 (2016)
[i2]
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Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg:
ECO: Efficient Convolution Operators for Tracking. CoRR abs/1611.09224 (2016)
[i1]
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Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Deep Motion Features for Visual Tracking. CoRR abs/1612.06615 (2016)

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