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[e18]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu
:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15031, Springer 2025, ISBN 978-981-97-8486-8 [contents]- [e17]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15032, Springer 2025, ISBN 978-981-97-8489-9 [contents] - [e16]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15033, Springer 2025, ISBN 978-981-97-8501-8 [contents] - [e15]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024 Urumqi, China, October 18-20, 2024 Proceedings, Part IV. Lecture Notes in Computer Science 15034, Springer 2025, ISBN 978-981-97-8504-9 [contents] - [e14]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15035, Springer 2025, ISBN 978-981-97-8619-0 [contents] - [e13]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15036, Springer 2025, ISBN 978-981-97-8507-0 [contents] - [e12]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15037, Springer 2025, ISBN 978-981-97-8510-0 [contents] - [e11]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15038, Springer 2025, ISBN 978-981-97-8684-8 [contents] - [e10]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15039, Springer 2025, ISBN 978-981-97-8691-6 [contents] - [e9]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15040, Springer 2025, ISBN 978-981-97-8791-3 [contents] - [e8]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 15041, Springer 2025, ISBN 978-981-97-8794-4 [contents] - [e7]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 15042, Springer 2025, ISBN 978-981-97-8857-6 [contents] - [e6]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIII. Lecture Notes in Computer Science 15043, Springer 2025, ISBN 978-981-97-8492-9 [contents] - [e5]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIV. Lecture Notes in Computer Science 15044, Springer 2025, ISBN 978-981-97-8495-0 [contents] - [e4]Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XV. Lecture Notes in Computer Science 15045, Springer 2025, ISBN 978-981-97-8498-1 [contents] - 2024
- [j110]Gang Xu, Qibin Hou, Ming-Ming Cheng:
Dual Frequency Transformer for Efficient SDR-to-HDR Translation. Mach. Intell. Res. 21(3): 538-548 (2024) - [j109]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) - [j108]Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng:
Revisiting Computer-Aided Tuberculosis Diagnosis. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2316-2332 (2024) - [j107]Zhicheng Huang, Xiaojie Jin, Chengze Lu, Qibin Hou, Ming-Ming Cheng, Dongmei Fu, Xiaohui Shen, Jiashi Feng:
Contrastive Masked Autoencoders are Stronger Vision Learners. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2506-2517 (2024) - [j106]Qibin Hou, Cheng-Ze Lu, Ming-Ming Cheng, Jiashi Feng:
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8274-8283 (2024) - [j105]Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ping Wang, Ming-Ming Cheng:
Zone Evaluation: Revealing Spatial Bias in Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8636-8651 (2024) - [j104]Guangyu Guo, Dingwen Zhang, Longfei Han, Nian Liu, Ming-Ming Cheng, Junwei Han:
Pixel Distillation: Cost-Flexible Distillation Across Image Sizes and Heterogeneous Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9536-9550 (2024) - [j103]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) - [j102]Huali Xu, Li Liu, Shuaifeng Zhi, Shaojing Fu, Zhuo Su, Ming-Ming Cheng, Yongxiang Liu:
Enhancing Information Maximization With Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning. IEEE Trans. Image Process. 33: 2058-2073 (2024) - [j101]Jiaxiong Qiu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren:
NeRC: Rendering Planar Caustics by Learning Implicit Neural Representations. IEEE Trans. Vis. Comput. Graph. 30(7): 4339-4348 (2024) - [j100]Jiaxiong Qiu, Yifan Zhu, Peng-Tao Jiang, Ming-Ming Cheng, Bo Ren:
RDNeRF: relative depth guided NeRF for dense free view synthesis. Vis. Comput. 40(3): 1485-1497 (2024) - [j99]Jiaxiong Qiu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren:
Rendering real-world unbounded scenes with cars by learning positional bias. Vis. Comput. 40(6): 4085-4098 (2024) - [c110]Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng:
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning. AAAI 2024: 6971-6978 - [c109]Boyuan Sun, Yuqi Yang, Le Zhang, Ming-Ming Cheng, Qibin Hou:
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. CVPR 2024: 3097-3107 - [c108]Zhen Li, Mingdeng Cao, Xintao Wang, Zhongang Qi, Ming-Ming Cheng, Ying Shan:
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding. CVPR 2024: 8640-8650 - [c107]Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou:
CrossKD: Cross-Head Knowledge Distillation for Object Detection. CVPR 2024: 16520-16530 - [c106]Xuying Zhang, Bowen Yin, Yuming Chen, Zheng Lin, Yunheng Li, Qibin Hou, Ming-Ming Cheng:
TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes. CVPR 2024: 19531-19540 - [c105]Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen:
Traffic Scene Parsing Through the TSP6K Dataset. CVPR 2024: 21874-21885 - [c104]Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning. CVPR 2024: 23954-23963 - [c103]Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng:
Generative Multi-modal Models are Good Class-Incremental Learners. CVPR 2024: 28706-28717 - [c102]Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou:
Towards Stable 3D Object Detection. ECCV (50) 2024: 197-213 - [c101]Bowen Yin, Xuying Zhang, Zhong-Yu Li, Li Liu, Ming-Ming Cheng, Qibin Hou:
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. ICLR 2024 - [c100]Yunheng Li, Zhongyu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng:
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. ICML 2024 - [c99]Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng:
Let's Start Over: Retraining with Selective Samples for Generalized Category Discovery. IJCAI 2024: 4815-4823 - [c98]Jiaxiong Qiu, Ruihong Cen, Zhong Li, Han Yan, Ming-Ming Cheng, Bo Ren:
NeuSmoke: Efficient Smoke Reconstruction and View Synthesis with Neural Transportation Fields. SIGGRAPH Asia 2024: 22:1-22:12 - [i151]Penghai Zhao, Xin Zhang, Ming-Ming Cheng, Jian Yang, Xiang Li:
A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence. CoRR abs/2402.12928 (2024) - [i150]Xuan-Yi Li, Daquan Zhou, Chenxu Zhang, Shaodong Wei, Qibin Hou, Ming-Ming Cheng:
Sora Generates Videos with Stunning Geometrical Consistency. CoRR abs/2402.17403 (2024) - [i149]Huali Xu, Li Liu, Shuaifeng Zhi, Shaojing Fu, Zhuo Su, Ming-Ming Cheng, Yongxiang Liu:
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning. CoRR abs/2403.01966 (2024) - [i148]Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang:
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection. CoRR abs/2403.06534 (2024) - [i147]Enguang Wang, Zhimao Peng, Zhengyuan Xie, Xialei Liu, Ming-Ming Cheng:
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery. CoRR abs/2403.09974 (2024) - [i146]Yuxuan Li, Xiang Li, Yimain Dai, Qibin Hou, Li Liu, Yongxiang Liu, Ming-Ming Cheng, Jian Yang:
LSKNet: A Foundation Lightweight Backbone for Remote Sensing. CoRR abs/2403.11735 (2024) - [i145]Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng:
Generative Multi-modal Models are Good Class-Incremental Learners. CoRR abs/2403.18383 (2024) - [i144]Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou:
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation. CoRR abs/2405.01434 (2024) - [i143]Yunheng Li, Zhongyu Li, Quansheng Zeng, Qibin Hou, Ming-Ming Cheng:
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation. CoRR abs/2406.00670 (2024) - [i142]Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou:
Towards Stable 3D Object Detection. CoRR abs/2407.04305 (2024) - [i141]Penghai Zhao, Qinghua Xing, Kairan Dou, Jinyu Tian, Ying Tai, Jian Yang, Ming-Ming Cheng, Xiang Li:
From Words to Worth: Newborn Article Impact Prediction with LLM. CoRR abs/2408.03934 (2024) - [i140]Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, Jie Yang, Wei Liu, Qibin Hou, Ming-Ming Cheng:
OPUS: Occupancy Prediction Using a Sparse Set. CoRR abs/2409.09350 (2024) - [i139]Yuhao Wan, Peng-Tao Jiang, Qibin Hou, Hao Zhang, Jinwei Chen, Ming-Ming Cheng, Bo Li:
ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer. CoRR abs/2410.14279 (2024) - [i138]Zhaochong An, Guolei Sun, Yun Liu, Runjia Li, Min Wu, Ming-Ming Cheng, Ender Konukoglu, Serge J. Belongie:
Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation. CoRR abs/2410.22489 (2024) - [i137]Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang:
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis. CoRR abs/2411.07132 (2024) - [i136]Huali Xu, Yongxiang Liu, Li Liu, Shuaifeng Zhi, Shuzhou Sun, Tianpeng Liu, Ming-Ming Cheng:
Step-wise Distribution Alignment Guided Style Prompt Tuning for Source-free Cross-domain Few-shot Learning. CoRR abs/2411.10070 (2024) - [i135]Zhong-Yu Li, Xin Jin, Boyuan Sun, Chun-Le Guo, Ming-Ming Cheng:
Towards RAW Object Detection in Diverse Conditions. CoRR abs/2411.15678 (2024) - [i134]Zhong-Yu Li, Yunheng Li, Deng-Ping Fan, Ming-Ming Cheng:
PR-MIM: Delving Deeper into Partial Reconstruction in Masked Image Modeling. CoRR abs/2411.15746 (2024) - [i133]Zhong-Yu Li, Yusong Hu, Bowen Yin, Ming-Ming Cheng:
Multi-Token Enhancing for Vision Representation Learning. CoRR abs/2411.15787 (2024) - 2023
- [j98]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) - [j97]Jie Mei, Yibo Zheng, Ming-Ming Cheng:
D2ANet: Difference-aware attention network for multi-level change detection from satellite imagery. Comput. Vis. Media 9(3): 563-579 (2023) - [j96]Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu:
Visual attention network. Comput. Vis. Media 9(4): 733-752 (2023) - [j95]Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr:
Deeply Explain CNN Via Hierarchical Decomposition. Int. J. Comput. Vis. 131(5): 1091-1105 (2023) - [j94]Jiang-Jiang Liu, Qibin Hou, Zhi-Ang Liu, Ming-Ming Cheng:
PoolNet+: Exploring the Potential of Pooling for Salient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 887-904 (2023) - [j93]Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng:
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1328-1334 (2023) - [j92]Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao:
Salient Objects in Clutter. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2344-2366 (2023) - [j91]Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang:
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2984-3002 (2023) - [j90]Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng:
Class-Specific Semantic Reconstruction for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4214-4228 (2023) - [j89]Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall:
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6647-6658 (2023) - [j88]Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr:
Large-Scale Unsupervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7457-7476 (2023) - [j87]Ziyue Zhu, Zhao Zhang, Zheng Lin, Xing Sun, Ming-Ming Cheng:
Co-Salient Object Detection With Co-Representation Purification. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8193-8205 (2023) - [j86]Zhaohui Zheng, Rongguang Ye, Qibin Hou, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng:
Localization Distillation for Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10070-10083 (2023) - [j85]Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng:
P2T: Pyramid Pooling Transformer for Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12760-12771 (2023) - [j84]Zhong-Yu Li, Shanghua Gao, Ming-Ming Cheng:
SERE: Exploring Feature Self-Relation for Self-Supervised Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15619-15631 (2023) - [j83]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) - [c97]Jia-Wen Xiao, Chang-Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer, Ming-Ming Cheng:
Endpoints Weight Fusion for Class Incremental Semantic Segmentation. CVPR 2023: 7204-7213 - [c96]Zhen Li, Zuo-Liang Zhu, Linghao Han, Qibin Hou, Chun-Le Guo, Ming-Ming Cheng:
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation. CVPR 2023: 9801-9810 - [c95]Ze-Xin Yin, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren:
Multi-Space Neural Radiance Fields. CVPR 2023: 12407-12416 - [c94]Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren:
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections. CVPR 2023: 20823-20833 - [c93]Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou:
SRFormer: Permuted Self-Attention for Single Image Super-Resolution. ICCV 2023: 12734-12745 - [c92]Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li:
Large Selective Kernel Network for Remote Sensing Object Detection. ICCV 2023: 16748-16759 - [c91]Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Masked Autoencoders are Efficient Class Incremental Learners. ICCV 2023: 19047-19056 - [c90]Jiang-Tian Zhai, Qi Zhang, Tong Wu, Xing-Yu Chen, Jiang-Jiang Liu, Ming-Ming Cheng:
SLAN: Self-Locator Aided Network for Vision-Language Understanding. ICCV 2023: 21892-21901 - [c89]Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
Masked Diffusion Transformer is a Strong Image Synthesizer. ICCV 2023: 23107-23116 - [c88]Shanghua Gao, Zhijie Lin, Xingyu Xie, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
EditAnything: Empowering Unparalleled Flexibility in Image Editing and Generation. ACM Multimedia 2023: 9414-9416 - [i132]Zhaohui Zheng, Yuming Chen, Qibin Hou, Xiang Li, Ming-Ming Cheng:
Towards Spatial Equilibrium Object Detection. CoRR abs/2301.05957 (2023) - [i131]Chengze Lu, Xiaojie Jin, Zhicheng Huang, Qibin Hou, Ming-Ming Cheng, Jiashi Feng:
CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition. CoRR abs/2301.06018 (2023) - [i130]Peng-Tao Jiang, Yuqi Yang, Yang Cao, Qibin Hou, Ming-Ming Cheng, Chunhua Shen:
Traffic Scene Parsing through the TSP6K Dataset. CoRR abs/2303.02835 (2023) - [i129]Ziyue Zhu, Zhao Zhang, Zheng Lin, Xing Sun, Ming-Ming Cheng:
Co-Salient Object Detection with Co-Representation Purification. CoRR abs/2303.07670 (2023) - [i128]Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li:
Large Selective Kernel Network for Remote Sensing Object Detection. CoRR abs/2303.09030 (2023) - [i127]Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou:
SRFormer: Permuted Self-Attention for Single Image Super-Resolution. CoRR abs/2303.09735 (2023) - [i126]Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
Masked Diffusion Transformer is a Strong Image Synthesizer. CoRR abs/2303.14389 (2023) - [i125]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) - [i124]Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren:
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections. CoRR abs/2304.08706 (2023) - [i123]Zhen Li, Zuo-Liang Zhu, Linghao Han, Qibin Hou, Chun-Le Guo, Ming-Ming Cheng:
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation. CoRR abs/2304.09790 (2023) - [i122]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) - [i121]Ze-Xin Yin, Jiaxiong Qiu, Ming-Ming Cheng, Bo Ren:
Multi-Space Neural Radiance Fields. CoRR abs/2305.04268 (2023) - [i120]Cheng-Ze Lu, Xiaojie Jin, Qibin Hou, Jun Hao Liew, Ming-Ming Cheng, Jiashi Feng:
Delving Deeper into Data Scaling in Masked Image Modeling. CoRR abs/2305.15248 (2023) - [i119]Boyuan Sun, Yuqi Yang, Weifeng Yuan, Le Zhang, Ming-Ming Cheng, Qibin Hou:
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. CoRR abs/2306.04300 (2023) - [i118]Xuying Zhang, Bowen Yin, Zheng Lin, Qibin Hou, Deng-Ping Fan, Ming-Ming Cheng:
Referring Camouflaged Object Detection. CoRR abs/2306.07532 (2023) - [i117]Jiabao Wang, Yuming Chen, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou:
CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection. CoRR abs/2306.11369 (2023) - [i116]Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng:
Revisiting Computer-Aided Tuberculosis Diagnosis. CoRR abs/2307.02848 (2023) - [i115]Yuming Chen, Xinbin Yuan, Ruiqi Wu, Jiabao Wang, Qibin Hou, Ming-Ming Cheng:
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection. CoRR abs/2308.05480 (2023) - [i114]Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng:
Masked Autoencoders are Efficient Class Incremental Learners. CoRR abs/2308.12510 (2023) - [i113]Bowen Yin, Xuying Zhang, Zhongyu Li, Li Liu, Ming-Ming Cheng, Qibin Hou:
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation. CoRR abs/2309.09668 (2023) - [i112]Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen:
Low-Resolution Self-Attention for Semantic Segmentation. CoRR abs/2310.05026 (2023) - [i111]Zhong-Yu Li, Bowen Yin, Shanghua Gao, Yongxiang Liu, Li Liu, Ming-Ming Cheng:
Enhancing Representations through Heterogeneous Self-Supervised Learning. CoRR abs/2310.05108 (2023) - [i110]