| Hierarchical saliency detection Q Yan, L Xu, J Shi, J Jia Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 1432 | 2013 |
| Structure extraction from texture via relative total variation L Xu, Q Yan, Y Xia, J Jia ACM transactions on graphics (TOG) 31 (6), 1-10, 2012 | 612 | 2012 |
| Hierarchical image saliency detection on extended CSSD J Shi, Q Yan, L Xu, J Jia IEEE transactions on pattern analysis and machine intelligence 38 (4), 717-729, 2015 | 334 | 2015 |
| Cascade residual learning: A two-stage convolutional neural network for stereo matching J Pang, W Sun, JSJ Ren, C Yang, Q Yan Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 290 | 2017 |
| Accurate single stage detector using recurrent rolling convolution J Ren, X Chen, J Liu, W Sun, J Pang, Q Yan, YW Tai, L Xu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 236 | 2017 |
| Deep edge-aware filters L Xu, J Ren, Q Yan, R Liao, J Jia International Conference on Machine Learning, 1669-1678, 2015 | 176 | 2015 |
| Shepard convolutional neural networks JS Ren, L Xu, Q Yan, W Sun Advances in Neural Information Processing Systems 28, 901-909, 2015 | 131 | 2015 |
| Look, listen and learn—A multimodal LSTM for speaker identification J Ren, Y Hu, YW Tai, C Wang, L Xu, W Sun, Q Yan Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 97 | 2016 |
| Cross-field joint image restoration via scale map Q Yan, X Shen, L Xu, S Zhuo, X Zhang, L Shen, J Jia Proceedings of the IEEE International Conference on Computer Vision, 1537-1544, 2013 | 94 | 2013 |
| Beautygan: Instance-level facial makeup transfer with deep generative adversarial network T Li, R Qian, C Dong, S Liu, Q Yan, W Zhu, L Lin Proceedings of the 26th ACM international conference on Multimedia, 645-653, 2018 | 88 | 2018 |
| A sparse control model for image and video editing L Xu, Q Yan, J Jia ACM Transactions on Graphics (TOG) 32 (6), 1-10, 2013 | 76 | 2013 |
| Dual student: Breaking the limits of the teacher in semi-supervised learning Z Ke, D Wang, Q Yan, J Ren, RWH Lau Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 40 | 2019 |
| Multispectral joint image restoration via optimizing a scale map X Shen, Q Yan, L Xu, L Ma, J Jia IEEE transactions on pattern analysis and machine intelligence 37 (12), 2518 …, 2015 | 34 | 2015 |
| Deep surface normal estimation with hierarchical rgb-d fusion J Zeng, Y Tong, Y Huang, Q Yan, W Sun, J Chen, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 23 | 2019 |
| Dense scattering layer removal Q Yan, L Xu, J Jia SIGGRAPH Asia 2013 Technical Briefs, 1-4, 2013 | 20 | 2013 |
| Guided collaborative training for pixel-wise semi-supervised learning Z Ke, D Qiu, K Li, Q Yan, RWH Lau Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 14 | 2020 |
| Polarized reflection removal with perfect alignment in the wild C Lei, X Huang, M Zhang, Q Yan, W Sun, Q Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 13 | 2020 |
| Hierarchical regression network for spectral reconstruction from RGB images Y Zhao, LM Po, Q Yan, W Liu, T Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 11 | 2020 |
| Image dehazing using bilinear composition loss function H Yang, J Pan, Q Yan, W Sun, J Ren, YW Tai arXiv preprint arXiv:1710.00279, 2017 | 9 | 2017 |
| Densely self-guided wavelet network for image denoising W Liu, Q Yan, Y Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 7 | 2020 |
Li XuCEO, SenseTime Group Limited在 sensetime.com 的电子邮件经过验证
