| Hierarchical saliency detection Q Yan, L Xu, J Shi, J Jia Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 2094 | 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 | 1017 | 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 | 670 | 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 | 600 | 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 | 362 | 2017 |
| 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 | 284 | 2019 |
| 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 | 270 | 2018 |
| 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 | 262 | 2020 |
| Deep edge-aware filters L Xu, J Ren, Q Yan, R Liao, J Jia International conference on machine learning, 1669-1678, 2015 | 258 | 2015 |
| Shepard convolutional neural networks JS Ren, L Xu, Q Yan, W Sun Advances in neural information processing systems 28, 2015 | 221 | 2015 |
| Fast-vqa: Efficient end-to-end video quality assessment with fragment sampling H Wu, C Chen, J Hou, L Liao, A Wang, W Sun, Q Yan, W Lin European conference on computer vision, 538-554, 2022 | 157 | 2022 |
| 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 | 155 | 2013 |
| Modnet: Real-time trimap-free portrait matting via objective decomposition Z Ke, J Sun, K Li, Q Yan, RWH Lau Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 1140-1147, 2022 | 153 | 2022 |
| 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 | 150 | 2020 |
| 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 | 140 | 2016 |
| Exploring video quality assessment on user generated contents from aesthetic and technical perspectives H Wu, E Zhang, L Liao, C Chen, J Hou, A Wang, W Sun, Q Yan, W Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 117 | 2023 |
| 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 | 115 | 2020 |
| 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 | 111 | 2020 |
| Q-bench: A benchmark for general-purpose foundation models on low-level vision H Wu, Z Zhang, E Zhang, C Chen, L Liao, A Wang, C Li, W Sun, Q Yan, ... arXiv preprint arXiv:2309.14181, 2023 | 89 | 2023 |
| 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 | 87 | 2013 |
Wenxiu SunThe Hong Kong University of Science and TechnologyПотвърден имейл адрес: connect.ust.hk
