| 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, 4263-4270, 2017 | 364 | 2017 |
| Deep joint rain detection and removal from a single image W Yang, RT Tan, J Feng, J Liu, Z Guo, S Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 248 | 2017 |
| Demystifying neural style transfer Y Li, N Wang, J Liu, X Hou arXiv preprint arXiv:1701.01036, 2017 | 200 | 2017 |
| Revisiting batch normalization for practical domain adaptation Y Li, N Wang, J Shi, J Liu, X Hou arXiv preprint arXiv:1603.04779, 2016 | 184 | 2016 |
| Attentive Generative Adversarial Network for Raindrop Removal from A Single Image R Qian, RT Tan, W Yang, J Su, J Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 131 | 2018 |
| 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 | 111 | 2018 |
| 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 | 108 | 2016 |
| 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 | 90 | 2017 |
| Image super-resolution based on structure-modulated sparse representation Y Zhang, J Liu, W Yang, Z Guo IEEE Transactions on Image Processing 24 (9), 2797-2810, 2015 | 86 | 2015 |
| Adaptive Batch Normalization for practical domain adaptation Y Li, N Wang, J Shi, X Hou, J Liu Pattern Recognition 80, 109-117, 2018 | 83 | 2018 |
| Deep retinex decomposition for low-light enhancement C Wei, W Wang, W Yang, J Liu arXiv preprint arXiv:1808.04560, 2018 | 82 | 2018 |
| Bit allocation for spatial scalability coding of H. 264/SVC with dependent rate-distortion analysis J Liu, Y Cho, Z Guo, CCJ Kuo IEEE Transactions on Circuits and Systems for Video Technology 20 (7), 967-981, 2010 | 77 | 2010 |
| Visibility enhancement using an image filtering approach YQ Zhang, Y Ding, JS Xiao, J Liu, Z Guo EURASIP Journal on Advances in Signal Processing 2012 (1), 220, 2012 | 76 | 2012 |
| Factorized Bilinear Models for Image Recognition Y Li, N Wang, J Liu, X Hou arXiv preprint arXiv:1611.05709, 2016 | 67 | 2016 |
| PKU-MMD: A large scale benchmark for continuous multi-modal human action understanding C Liu, Y Hu, Y Li, S Song, J Liu arXiv preprint arXiv:1703.07475, 2017 | 66 | 2017 |
| Context-Aware Sparse Decomposition for Image Denoising and Super-Resolution J Ren, J Liu, Z Guo Image Processing, IEEE Transactions on 22 (4), 1456-1469, 2013 | 58 | 2013 |
| 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 | 55 | 2018 |
| Joint image denoising using adaptive principal component analysis and self-similarity Y Zhang, J Liu, M Li, Z Guo Information Sciences 259, 128-141, 2014 | 55 | 2014 |
| Objective quality assessment of screen content images by uncertainty weighting Y Fang, J Yan, J Liu, S Wang, Q Li, Z Guo IEEE Transactions on Image Processing 26 (4), 2016-2027, 2017 | 51 | 2017 |
| 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 | 48 | 2018 |
