Swinir: Image restoration using swin transformer J Liang, J Cao, G Sun, K Zhang, L Van Gool, R Timofte arXiv preprint arXiv:2108.10257, 2021 | 2215 | 2021 |
Localvit: Bringing locality to vision transformers Y Li, K Zhang, J Cao, R Timofte, L Van Gool arXiv preprint arXiv:2104.05707, 2021 | 444 | 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 | 371 | 2020 |
Video Super-resolution Transformer J Cao, Y Li, K Zhang, L Van Gool arXiv preprint arXiv:2106.06847, 2021 | 170 | 2021 |
Vrt: A video restoration transformer J Liang, J Cao, Y Fan, K Zhang, R Ranjan, Y Li, R Timofte, L Van Gool IEEE Transactions on Image Processing, 2024 | 169 | 2024 |
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 | 110 | 2020 |
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 | 106 | 2023 |
Multi-marginal Wasserstein GAN J Cao, L Mo, Y Zhang, K Jia, C Shen, M Tan Neural Information Processing Systems (NeurIPS), 2019 | 91 | 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, ... Neural Information Processing Systems (NeurIPS), 2022 | 81 | 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 66 | 2019 |
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, 1219-1229, 2023 | 55 | 2023 |
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 | 45 | 2018 |
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 | 42 | 2022 |
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 | 42 | 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 | 39 | 2019 |
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 | 28 | 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 | 24 | 2023 |
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, 2023 | 19 | 2023 |
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 | 16 | 2019 |
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 | 15 | 2023 |