| 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 |
| Grnet: Gridding residual network for dense point cloud completion H Xie, H Yao, S Zhou, J Mao, S Zhang, W Sun European conference on computer vision, 365-381, 2020 | 362 | 2020 |
| 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 | 357 | 2017 |
| Single view stereo matching Y Luo, J Ren, M Lin, J Pang, W Sun, H Li, L Lin Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 245 | 2018 |
| Quadratic video interpolation X Xu, L Siyao, W Sun, Q Yin, MH Yang Advances in Neural Information Processing Systems 32, 2019 | 224 | 2019 |
| Shepard convolutional neural networks JS Ren, L Xu, Q Yan, W Sun Advances in neural information processing systems 28, 2015 | 217 | 2015 |
| Pix2Vox++: Multi-scale context-aware 3D object reconstruction from single and multiple images H Xie, H Yao, S Zhang, S Zhou, W Sun International Journal of Computer Vision 128 (12), 2919-2935, 2020 | 180 | 2020 |
| Lstm pose machines Y Luo, J Ren, Z Wang, W Sun, J Pan, J Liu, J Pang, L Lin Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 173 | 2018 |
| Efficient regional memory network for video object segmentation H Xie, H Yao, S Zhou, S Zhang, W Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 165 | 2021 |
| Fuseformer: Fusing fine-grained information in transformers for video inpainting R Liu, H Deng, Y Huang, X Shi, L Lu, W Sun, X Wang, J Dai, H Li Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 143 | 2021 |
| 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 | 142 | 2022 |
| Monocular depth estimation with affinity, vertical pooling, and label enhancement Y Gan, X Xu, W Sun, L Lin Proceedings of the European Conference on Computer Vision (ECCV), 224-239, 2018 | 139 | 2018 |
| 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 | 139 | 2016 |
| Towards real scene super-resolution with raw images X Xu, Y Ma, W Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 123 | 2019 |
| 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 | 110 | 2020 |
| Deep animation video interpolation in the wild L Siyao, S Zhao, W Yu, W Sun, D Metaxas, CC Loy, Z Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 96 | 2021 |
| Enhanced quadratic video interpolation Y Liu, L Xie, L Siyao, W Sun, Y Qiao, C Dong Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 90 | 2020 |
| 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 | 85 | 2023 |
| 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 | 75 | 2019 |
| 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 | 70 | 2023 |
Qiong YanSenseTime ResearchVerified email at sensetime.com
