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2020 – today
- 2024
[j8]Haijin Zeng, Kai Feng, Jiezhang Cao, Shaoguang Huang, Yongqiang Zhao, Hiep Quang Luong, Jan Aelterman, Wilfried Philips:
Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor. Int. J. Comput. Vis. 132(11): 4992-5013 (2024)- [j7]Jingyun Liang
, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. IEEE Trans. Image Process. 33: 2171-2182 (2024) - [c22]Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
Deep Equilibrium Diffusion Restoration with Parallel Sampling. CVPR 2024: 2824-2834 - [c21]Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen:
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model. CVPR 2024: 25297-25306 - [c20]Jiancheng Zhang, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Dengxiu Yu, Yin-Ping Zhao:
Dual Prior Unfolding for Snapshot Compressive Imaging. CVPR 2024: 25742-25752 - [c19]Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen, Hiep Luong, Wilfried Philips:
Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising. CVPR 2024: 27820-27830 - [i30]Jiameng Li, Yue Shi, Jiezhang Cao, Bingbing Ni, Wenjun Zhang, Kai Zhang, Luc Van Gool:
Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Rendering. CoRR abs/2408.06286 (2024) - 2023
- [j6]Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Deng-Ping Fan, Radu Timofte, Luc Van Gool:
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis. Mach. Intell. Res. 20(6): 822-836 (2023) - [j5]Jincheng Li, Shuhai Zhang, Jiezhang Cao, Mingkui Tan:
Learning defense transformations for counterattacking adversarial examples. Neural Networks 164: 177-185 (2023) - [c18]Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool:
Denoising Diffusion Models for Plug-and-Play Image Restoration. CVPR Workshops 2023: 1219-1229 - [c17]Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
LSDIR: A Large Scale Dataset for Image Restoration. CVPR Workshops 2023: 1775-1787 - [c16]Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CVPR 2023: 1796-1807 - [c15]Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Kai Zhang, Jiezhang Cao, Qi Jiang, Kaiwei Wang, Luc Van Gool:
Event-Based Frame Interpolation with Ad-hoc Deblurring. CVPR 2023: 18043-18052 - [c14]Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Michele Magno, Luca Benini, Luc Van Gool:
LocalViT: Analyzing Locality in Vision Transformers. IROS 2023: 9598-9605 - [i29]Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Jiezhang Cao, Kai Zhang, Qi Jiang, Kaiwei Wang, Luc Van Gool:
Event-Based Frame Interpolation with Ad-hoc Deblurring. CoRR abs/2301.05191 (2023) - [i28]Haijin Zeng, Kai Feng, Shaoguang Huang, Jiezhang Cao, Yongyong Chen, Hongyan Zhang, Hiep Luong, Wilfried Philips:
MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing. CoRR abs/2303.13404 (2023) - [i27]Haijin Zeng, Kai Feng, Jiezhang Cao, Shaoguang Huang, Yongqiang Zhao, Hiep Luong, Jan Aelterman, Wilfried Philips:
Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor. CoRR abs/2303.13571 (2023) - [i26]Haijin Zeng, Jiezhang Cao, Kai Feng, Shaoguang Huang, Hongyan Zhang, Hiep Luong, Wilfried Philips:
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising. CoRR abs/2305.04047 (2023) - [i25]Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool:
Denoising Diffusion Models for Plug-and-Play Image Restoration. CoRR abs/2305.08995 (2023) - [i24]Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen:
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model. CoRR abs/2311.11417 (2023) - [i23]Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
Deep Equilibrium Diffusion Restoration with Parallel Sampling. CoRR abs/2311.11600 (2023) - 2022
- [j4]Jiezhang Cao, Jincheng Li, Xiping Hu, Xiangmiao Wu, Mingkui Tan:
Towards interpreting deep neural networks via layer behavior understanding. Mach. Learn. 111(3): 1159-1179 (2022) - [j3]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks With Local Coordinate Coding. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 211-227 (2022) - [c13]Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-Based Image Super-Resolution with Deformable Attention Transformer. ECCV (18) 2022: 325-342 - [c12]Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. ECCV (18) 2022: 393-411 - [c11]Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. NeurIPS 2022 - [i22]Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. CoRR abs/2201.12288 (2022) - [i21]Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Radu Timofte, Luc Van Gool:
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis. CoRR abs/2203.13278 (2022) - [i20]Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. CoRR abs/2206.02146 (2022) - [i19]Yong Guo, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Jian Chen, Mingkui Tan:
Towards Lightweight Super-Resolution with Dual Regression Learning. CoRR abs/2207.07929 (2022) - [i18]Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. CoRR abs/2207.10765 (2022) - [i17]Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-based Image Super-Resolution with Deformable Attention Transformer. CoRR abs/2207.11938 (2022) - [i16]Jiezhang Cao, Qin Wang, Jingyun Liang, Yulun Zhang, Kai Zhang, Luc Van Gool:
Practical Real Video Denoising with Realistic Degradation Model. CoRR abs/2208.11803 (2022) - [i15]Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CoRR abs/2212.04362 (2022) - 2021
- [j2]Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu:
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. IEEE Trans. Knowl. Data Eng. 33(3): 1078-1088 (2021) - [j1]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. 33(6): 2680-2692 (2021) - [c10]Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. ICCVW 2021: 1833-1844 - [i14]Jincheng Li, Jiezhang Cao, Yifan Zhang, Jian Chen, Mingkui Tan:
Learning Defense Transformers for Counterattacking Adversarial Examples. CoRR abs/2103.07595 (2021) - [i13]Mingkui Tan, Shuhai Zhang, Jiezhang Cao, Jincheng Li, Yanwu Xu:
Internal Wasserstein Distance for Adversarial Attack and Defense. CoRR abs/2103.07598 (2021) - [i12]Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Luc Van Gool:
LocalViT: Bringing Locality to Vision Transformers. CoRR abs/2104.05707 (2021) - [i11]Jiezhang Cao, Yawei Li, Kai Zhang, Luc Van Gool:
Video Super-Resolution Transformer. CoRR abs/2106.06847 (2021) - [i10]Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte:
SwinIR: Image Restoration Using Swin Transformer. CoRR abs/2108.10257 (2021) - 2020
- [c9]Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan:
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution. CVPR 2020: 5406-5415 - [c8]Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan:
Generative Low-Bitwidth Data Free Quantization. ECCV (12) 2020: 1-17 - [i9]Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Joint Wasserstein Distribution Matching. CoRR abs/2003.00389 (2020) - [i8]Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan:
Generative Low-bitwidth Data Free Quantization. CoRR abs/2003.03603 (2020) - [i7]Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan:
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution. CoRR abs/2003.07018 (2020) - [i6]Chendi Rao, Jiezhang Cao, Runhao Zeng, Qi Chen, Huazhu Fu, Yanwu Xu, Mingkui Tan:
A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays. CoRR abs/2003.13969 (2020) - [i5]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks with Local Coordinate Coding. CoRR abs/2008.00942 (2020)
2010 – 2019
- 2019
- [c7]Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu:
Oversampling for Imbalanced Data via Optimal Transport. AAAI 2019: 5605-5612 - [c6]Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang:
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) 2019: 360-368 - [c5]Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan:
Multi-marginal Wasserstein GAN. NeurIPS 2019: 1774-1784 - [i4]Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan:
Multi-marginal Wasserstein GAN. CoRR abs/1911.00888 (2019) - [i3]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR abs/1911.07498 (2019) - 2018
- [c4]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Adversarial Learning with Local Coordinate Coding. ICML 2018: 706-714 - [c3]Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan:
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. KDD 2018: 2768-2777 - [i2]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Adversarial Learning with Local Coordinate Coding. CoRR abs/1806.04895 (2018) - [i1]Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, Jiezhang Cao, Peilin Zhao, Mingkui Tan:
Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss. CoRR abs/1809.07099 (2018) - 2017
- [c2]Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan:
On the Flatness of Loss Surface for Two-layered ReLU Networks. ACML 2017: 545-560 - [c1]Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen:
Tensor Based Relations Ranking for Multi-relational Collective Classification. ICDM 2017: 901-906
Coauthor Index
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