Follow
Jiezhang Cao
Title
Cited by
Cited by
Year
Swinir: Image Restoration using Swin Transformer
J Liang, J Cao, G Sun, K Zhang, L Van Gool, R Timofte
ICCVW 2021; code: https://github.com/JingyunLiang/SwinIR, 2021
24032021
Localvit: Bringing Locality to Vision Transformers
Y Li, K Zhang, J Cao, R Timofte, L Van Gool
arXiv preprint arXiv:2104.05707, 2021
4562021
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
Y Guo, J Chen, J Wang, Q Chen, J Cao, Z Deng, Y Xu, M Tan
CVPR 2020, 2020
3752020
Vrt: A Video Restoration Transformer
J Liang, J Cao, Y Fan, K Zhang, R Ranjan, Y Li, R Timofte, L Van Gool
IEEE TIP 2024, 2024
1812024
Video Super-resolution Transformer
J Cao, Y Li, K Zhang, L Van Gool
arXiv preprint arXiv:2106.06847, code: https://github.com/caojiezhang/VSR …, 2021
1772021
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
K Zhang, Y Li, J Liang, J Cao, Y Zhang, H Tang, DP Fan, R Timofte, ...
Machine Intelligence Research 20 (6), 822-836, 2023
1172023
Generative Low-bitwidth Data Free Quantization
S Xu, H Li, B Zhuang, J Liu, J Cao, C Liang, M Tan
ECCV 2020, 2020
1172020
Multi-marginal Wasserstein GAN
J Cao, L Mo, Y Zhang, K Jia, C Shen, M Tan
NeurIPS 2019, code: https://github.com/caojiezhang/MWGAN, 2019
972019
Recurrent Video Restoration Transformer with Guided Deformable Attention
J Liang, Y Fan, X Xiang, R Ranjan, E Ilg, S Green, J Cao, K Zhang, ...
NeurIPS 2022, 2022
922022
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image classification
Y Zhang, H Chen, Y Wei, P Zhao, J Cao, X Fan, X Lou, H Liu, J Hou, ...
MICCAI 2019, 360-368, 2019
672019
Denoising Diffusion Models for Plug-and-Play Image Restoration
Y Zhu, K Zhang, J Liang, J Cao, B Wen, R Timofte, L Van Gool
CVPR Workshop 2023, 1219-1229, 2023
642023
Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data
Y Zhang, P Zhao, J Cao, W Ma, J Huang, Q Wu, M Tan
KDD 2018, 2768-2777, 2018
472018
Reference-based Image Super-Resolution with Deformable Attention Transformer
J Cao, J Liang, K Zhang, Y Li, Y Zhang, W Wang, L Van Gool
ECCV 2022, code: https://github.com/caojiezhang/DATSR, 2022
462022
Adversarial Learning with Local Coordinate Coding
J Cao, Y Guo, Q Wu, C Shen, J Huang, M Tan
ICML 2018, code: https://github.com/caojiezhang/LCCGAN 80, 707-715, 2018
432018
Oversampling for Imbalanced Data via Optimal Transport
Y Yan, M Tan, Y Xu, J Cao, M Ng, H Min, Q Wu
AAAI 2019 33, 5605-5612, 2019
422019
Lsdir: A Large Scale Dataset for Image Restoration
Y Li, K Zhang, J Liang, J Cao, C Liu, R Gong, Y Zhang, H Tang, Y Liu, ...
CVPRW, 1775-1787, 2023
302023
Online Adaptive Asymmetric Active Learning with Limited Budgets
Y Zhang, P Zhao, S Niu, Q Wu, J Cao, J Huang, M Tan
TKDE 2019, 2019
282019
Event-Based Frame Interpolation with Ad-hoc Deblurring
L Sun, C Sakaridis, J Liang, P Sun, J Cao, K Zhang, Q Jiang, K Wang, ...
CVPR 2023, 2023
232023
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
J Cao, Q Wang, Y Xian, Y Li, B Ni, Z Pi, K Zhang, Y Zhang, R Timofte, ...
CVPR 2023, code: https://github.com/caojiezhang/CiaoSR, 2023
222023
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold
M Tan, Z Hu, Y Yan, J Cao, D Gong, Q Wu
TKDE 2019, 2019
182019
The system can't perform the operation now. Try again later.
Articles 1–20