| Deep retinex decomposition for low-light enhancement C Wei, W Wang, W Yang, J Liu British Machine Vision Conference (BMVC), 2018 | 944 | 2018 |
| An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data S Song, C Lan, J Xing, W Zeng, J Liu AAAI Conference on Artificial Intelligence, 4263-4270, 2017 | 898 | 2017 |
| Deep joint rain detection and removal from a single image W Yang, RT Tan, J Feng, J Liu, Z Guo, S Yan IEEE Conference on Computer Vision and Pattern Recognition, 1357-1366, 2017 | 740 | 2017 |
| Structure-Revealing Low-Light Image Enhancement via Robust Retinex Model M Li, J Liu, W Yang, X Sun, Z Guo IEEE Transactions on Image Processing 27 (6), 2018 | 604 | 2018 |
| Demystifying neural style transfer Y Li, N Wang, J Liu, X Hou International Joint Conference on Artificial Intelligence (IJCAI), 2017 | 548 | 2017 |
| Revisiting batch normalization for practical domain adaptation Y Li, N Wang, J Shi, J Liu, X Hou arXiv preprint arXiv:1603.04779, 2016 | 537 | 2016 |
| Attentive Generative Adversarial Network for Raindrop Removal from A Single Image R Qian, RT Tan, W Yang, J Su, J Liu IEEE Conference on Computer Vision and Pattern Recognition, 2482-2491, 2018 | 507 | 2018 |
| Adaptive batch normalization for practical domain adaptation Y Li, N Wang, J Shi, X Hou, J Liu Pattern Recognition 80, 109-117, 2018 | 385 | 2018 |
| Joint rain detection and removal from a single image with contextualized deep networks W Yang, RT Tan, J Feng, Z Guo, S Yan, J Liu IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (6), 1377-1393, 2019 | 249 | 2019 |
| GLADNet: Low-light enhancement network with global awareness W Wang, C Wei, W Yang, J Liu IEEE International Conference on Automatic Face & Gesture Recognition (FG …, 2018 | 228 | 2018 |
| PKU-MMD: A Large Scale Benchmark for Skeleton-Based Human Action Understanding C Liu, Y Hu, Y Li, S Song, J Liu Proceedings of the Workshop on Visual Analysis in Smart and Connected …, 2017 | 223* | 2017 |
| From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement W Yang, S Wang, Y Fang, Y Wang, J Liu IEEE/CVF Conference on Computer Vision and Pattern Recognition, 3063-3072, 2020 | 207 | 2020 |
| Deep edge guided recurrent residual learning for image super-resolution W Yang, J Feng, J Yang, F Zhao, J Liu, Z Guo, S Yan IEEE Transactions on Image Processing 26 (12), 5895-5907, 2017 | 194 | 2017 |
| Online human action detection using joint classification-regression recurrent neural networks Y Li, C Lan, J Xing, W Zeng, C Yuan, J Liu European Conference on Computer Vision, 203-220, 2016 | 191 | 2016 |
| Spatio-Temporal Attention-Based LSTM Networks for 3D Action Recognition and Detection S Song, C Lan, J Xing, W Zeng, J Liu IEEE Transactions on Image Processing 27 (7), 3459-3471, 2018 | 180 | 2018 |
| Factorized Bilinear Models for Image Recognition Y Li, N Wang, J Liu, X Hou International Conference on Computer Vision (ICCV), 2017 | 166 | 2017 |
| Joint enhancement and denoising method via sequential decomposition X Ren, M Li, WH Cheng, J Liu IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 162 | 2018 |
| Erase or fill? deep joint recurrent rain removal and reconstruction in videos J Liu, W Yang, S Yang, Z Guo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 159 | 2018 |
| Single image deraining: From model-based to data-driven and beyond W Yang, RT Tan, S Wang, Y Fang, J Liu IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (11), 4059 …, 2020 | 147 | 2020 |
| Optimized skeleton-based action recognition via sparsified graph regression X Gao, W Hu, J Tang, J Liu, Z Guo ACM International Conference on Multimedia, 601-610, 2019 | 147 | 2019 |
