| Hierarchical saliency detection Q Yan, L Xu, J Shi, J Jia Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 1370 | 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 | 590 | 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 | 322 | 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 | 268 | 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 | 221 | 2017 |
| Deep edge-aware filters L Xu, J Ren, Q Yan, R Liao, J Jia International Conference on Machine Learning, 1669-1678, 2015 | 163 | 2015 |
| Shepard convolutional neural networks JSJ Ren, L Xu, Q Yan, W Sun Proceedings of the 28th International Conference on Neural Information …, 2015 | 125 | 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 | 90 | 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 | 89 | 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 | 76 | 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 | 74 | 2013 |
| 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 | 31 | 2015 |
| 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 | 30 | 2019 |
| 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 | 20 | 2019 |
| Dense scattering layer removal Q Yan, L Xu, J Jia SIGGRAPH Asia 2013 Technical Briefs, 1-4, 2013 | 20 | 2013 |
| 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 | 8 | 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 | 8 | 2017 |
| Information processing method and electronic device YAN Qiong, L Sun US Patent 9,607,394, 2017 | 7 | 2017 |
| Guided collaborative training for pixel-wise semi-supervised learning Z Ke, KL Di Qiu, Q Yan, RWH Lau ECCV 2, 6, 2020 | 6 | 2020 |
| 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 | 6 | 2020 |
Li XuCEO, SenseTime Group Limited在 sensetime.com 的电子邮件经过验证
