| Swinir: Image restoration using swin transformer J Liang, J Cao, G Sun, K Zhang, L Van Gool, R Timofte arXiv preprint arXiv:2108.10257, 1833-1844, 2021 | 1254 | 2021 |
| Localvit: Bringing locality to vision transformers Y Li, K Zhang, J Cao, R Timofte, L Van Gool arXiv preprint arXiv:2104.05707, 2021 | 341 | 2021 |
| 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 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 327 | 2020 |
| Vrt: A video restoration transformer J Liang, J Cao, Y Fan, K Zhang, R Ranjan, Y Li, R Timofte, L Van Gool arXiv preprint arXiv:2201.12288, 2022 | 101 | 2022 |
| Generative Low-bitwidth Data Free Quantization S Xu, H Li, B Zhuang, J Liu, J Cao, C Liang, M Tan European Conference on Computer Vision (ECCV), 2020 | 89 | 2020 |
| Multi-marginal Wasserstein GAN J Cao, L Mo, Y Zhang, K Jia, C Shen, M Tan Neural Information Processing Systems (NeurIPS), 2019 | 77 | 2019 |
| 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 63 | 2019 |
| Practical blind denoising via swin-conv-unet and data synthesis K Zhang, Y Li, J Liang, J Cao, Y Zhang, H Tang, R Timofte, L Van Gool arXiv preprint arXiv:2203.13278, 2022 | 55 | 2022 |
| Online adaptive asymmetric active learning for budgeted imbalanced data Y Zhang, P Zhao, J Cao, W Ma, J Huang, Q Wu, M Tan Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 44 | 2018 |
| Adversarial Learning with Local Coordinate Coding J Cao, Y Guo, Q Wu, C Shen, J Huang, M Tan International Conference on Machine Learning (ICML) 80, 707-715, 2018 | 39 | 2018 |
| Oversampling for Imbalanced Data via Optimal Transport Y Yan, M Tan, Y Xu, J Cao, M Ng, H Min, Q Wu AAAI Conference on Artificial Intelligence 33, 5605-5612, 2019 | 33 | 2019 |
| 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 | 30 | 2022 |
| Online Adaptive Asymmetric Active Learning with Limited Budgets Y Zhang, P Zhao, S Niu, Q Wu, J Cao, J Huang, M Tan IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 | 26 | 2019 |
| Dual reconstruction nets for image super-resolution with gradient sensitive loss Y Guo, Q Chen, J Chen, J Huang, Y Xu, J Cao, P Zhao, M Tan arXiv preprint arXiv:1809.07099, 2018 | 16 | 2018 |
| Learning sparse PCA with stabilized ADMM method on stiefel manifold M Tan, Z Hu, Y Yan, J Cao, D Gong, Q Wu IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 | 14 | 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, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| Improving Generative Adversarial Networks with Local Coordinate Coding J Cao, Y Guo, Q Wu, C Shen, J Huang, M Tan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 1-1, 2020 | 10 | 2020 |
| Reference-based Image Super-Resolution with Deformable Attention Transformer J Cao, J Liang, K Zhang, Y Li, Y Zhang, W Wang, L Van Gool European Conference on Computer Vision (ECCV) 2022, 2022 | 9 | 2022 |
| Internal wasserstein distance for adversarial attack and defense M Tan, S Zhang, J Cao, J Li, Y Xu arXiv preprint arXiv:2103.07598, 2021 | 8 | 2021 |
| Towards lightweight super-resolution with dual regression learning Y Guo, J Wang, Q Chen, J Cao, Z Deng, Y Xu, J Chen, M Tan arXiv preprint arXiv:2207.07929, 2022 | 7 | 2022 |
Kai ZhangETH ZurichVerified email at vision.ee.ethz.ch
