| Hierarchical saliency detection Q Yan, L Xu, J Shi, J Jia Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 1776 | 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 | 834 | 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 | 489 | 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 | 459 | 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 | 307 | 2017 |
| Deep edge-aware filters L Xu, J Ren, Q Yan, R Liao, J Jia International Conference on Machine Learning, 1669-1678, 2015 | 219 | 2015 |
| Shepard convolutional neural networks JS Ren, L Xu, Q Yan, W Sun Advances in neural information processing systems 28, 2015 | 179 | 2015 |
| 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 | 170 | 2018 |
| 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 | 130 | 2013 |
| 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 | 124 | 2016 |
| 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 | 122 | 2019 |
| 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 | 106 | 2020 |
| 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 | 83 | 2013 |
| Aim 2020 challenge on efficient super-resolution: Methods and results K Zhang, M Danelljan, Y Li, R Timofte, J Liu, J Tang, G Wu, Y Zhu, X He, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 75 | 2020 |
| Is a green screen really necessary for real-time portrait matting? Z Ke, K Li, Y Zhou, Q Wu, X Mao, Q Yan, RWH Lau arXiv preprint arXiv:2011.11961, 2020 | 54 | 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 | 52 | 2020 |
| 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 | 48 | 2019 |
| 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 | 46 | 2020 |
| 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 | 45 | 2015 |
| Aim 2019 challenge on bokeh effect synthesis: Methods and results A Ignatov, J Patel, R Timofte, B Zheng, X Ye, L Huang, X Tian, S Dutta, ... 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019 | 34 | 2019 |
Li XuCEO, SenseTime Group Limited在 sensetime.com 的电子邮件经过验证
