Jiezhang Cao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 54

Top Topics

Diffusion Model

Active Learning

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

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 (2024)
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 (2023)
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 (2023)
Jincheng Li, Shuhai Zhang, Jiezhang Cao, Mingkui Tan
Learning defense transformations for counterattacking adversarial examples. Neural Networks 164 (2023)
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 (2023)
Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model. CoRR (2023)
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)
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)
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)
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 (2023)
Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool
Deep Equilibrium Diffusion Restoration with Parallel Sampling. CoRR (2023)
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) (2023)
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 (2023)
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)
Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Michele Magno, Luca Benini, Luc Van Gool
LocalViT: Analyzing Locality in Vision Transformers. IROS (2023)
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 (2022)
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 (2022)
Jiezhang Cao, Qin Wang, Jingyun Liang, Yulun Zhang, Kai Zhang, Luc Van Gool
Practical Real Video Denoising with Realistic Degradation Model. CoRR (2022)
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 (2022)
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 (2022)
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)
Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool
VRT: A Video Restoration Transformer. CoRR (2022)
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) (2022)
Jiezhang Cao, Jincheng Li, Xiping Hu, Xiangmiao Wu, Mingkui Tan
Towards interpreting deep neural networks via layer behavior understanding. Mach. Learn. 111 (3) (2022)
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)
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 (2022)
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)
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 (2022)
Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Luc Van Gool
LocalViT: Bringing Locality to Vision Transformers. CoRR (2021)
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) (2021)
Jiezhang Cao, Yawei Li, Kai Zhang, Luc Van Gool
Video Super-Resolution Transformer. CoRR (2021)
Jincheng Li, Jiezhang Cao, Shuhai Zhang, Yanwu Xu, Jian Chen, Mingkui Tan
Internal Wasserstein Distance for Adversarial Attack and Defense. CoRR (2021)
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) (2021)
Jincheng Li, Jiezhang Cao, Yifan Zhang, Jian Chen, Mingkui Tan
Learning Defense Transformers for Counterattacking Adversarial Examples. CoRR (2021)
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte
SwinIR: Image Restoration Using Swin Transformer. ICCVW (2021)
Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte
SwinIR: Image Restoration Using Swin Transformer. CoRR (2021)
Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
Joint Wasserstein Distribution Matching. CoRR (2020)
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 (2020)
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)
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 (2020)
Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
Improving Generative Adversarial Networks with Local Coordinate Coding. CoRR (2020)
Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan
Generative Low-bitwidth Data Free Quantization. CoRR (2020)
Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan
Generative Low-Bitwidth Data Free Quantization. ECCV (12) (2020)
Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan
Multi-marginal Wasserstein GAN. CoRR (2019)
Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan
Multi-marginal Wasserstein GAN. NeurIPS (2019)
Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan
Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR (2019)
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)
Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu
Oversampling for Imbalanced Data via Optimal Transport. AAAI (2019)
Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
Adversarial Learning with Local Coordinate Coding. CoRR (2018)
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)
Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
Adversarial Learning with Local Coordinate Coding. ICML (2018)
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 (2018)
Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan
On the Flatness of Loss Surface for Two-layered ReLU Networks. ACML (2017)
Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen
Tensor Based Relations Ranking for Multi-relational Collective Classification. ICDM (2017)