| 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 | 3624 | 2021 |
| Localvit: Bringing Locality to Vision Transformers Y Li, K Zhang, J Cao, R Timofte, L Van Gool IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023 | 566 | 2023 |
| 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 | 419 | 2020 |
| 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 | 297 | 2024 |
| 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 | 217 | 2021 |
| 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 | 186 | 2023 |
| 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 | 165 | 2023 |
| 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 | 164 | 2022 |
| Generative Low-bitwidth Data Free Quantization S Xu, H Li, B Zhuang, J Liu, J Cao, C Liang, M Tan ECCV 2020, 2020 | 154 | 2020 |
| 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 | 106 | 2019 |
| 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 | 84 | 2023 |
| 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 | 78 | 2022 |
| 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 | 72 | 2019 |
| 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 | 52 | 2019 |
| 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 | 52 | 2018 |
| 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 | 51 | 2023 |
| 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 | 48 | 2023 |
| 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 | 43 | 2018 |
| 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 | 32 | 2019 |
| Towards Interpretable Video Super-Resolution via Alternating Optimization J Cao, J Liang, K Zhang, W Wang, Q Wang, Y Zhang, H Tang, L Van Gool ECCV 2022, code: https://github.com/caojiezhang/DAVSR, 2022 | 21 | 2022 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEVahvistettu sähköpostiosoite verkkotunnuksessa insait.ai