| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, B Lim, S Son, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 2004 | 2017 |
| Low-Light Image Enhancement via a Deep Hybrid Network W Ren, S Liu, L Ma, Q Xu, X Xu, X Cao, J Du, MH Yang IEEE Transactions on Image Processing 28 (9), 4364-4375, 2019 | 438 | 2019 |
| BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment KCK Chan, S Zhou, X Xu, CC Loy IEEE Conference on Computer Vision and Pattern Recognition 2022, 2021 | 408 | 2021 |
| Learning to Super-Resolve Blurry Face and Text Images X Xu, D Sun, J Pan, Y Zhang, H Pfister, MH Yang IEEE International Conference on Computer Vision 2017, 251-260, 2017 | 269 | 2017 |
| GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution KCK Chan, X Wang, X Xu, J Gu, CC Loy IEEE Conference on Computer Vision and Pattern Recognition 2021, 2020 | 253 | 2020 |
| Quadratic Video Interpolation X Xu, S Li, W Sun, Q Yin, MH Yang Advances in Neural Informaiton Processing Systems 2019, 1645-1654, 2019 | 221 | 2019 |
| Motion blur kernel estimation via deep learning X Xu, J Pan, YJ Zhang, MH Yang IEEE Transactions on Image Processing 27 (1), 194-205, 2017 | 174 | 2017 |
| Deep video dehazing with semantic segmentation W Ren, J Zhang, X Xu, L Ma, X Cao, G Meng, W Liu IEEE Transactions on Image Processing 28 (4), 1895-1908, 2018 | 172 | 2018 |
| Monocular depth estimation with affinity, vertical pooling, and label enhancement Y Gan, X Xu, W Sun, L Lin European Conference on Computer Vision 2018, 224-239, 2018 | 136 | 2018 |
| Towards Real Scene Super-Resolution with Raw Images X Xu, Y Ma, W Sun IEEE Conference on Computer Vision and Pattern Recognition 2019, 1723-1731, 2019 | 122 | 2019 |
| Video Frame Interpolation Transformer Z Shi, X Xu, X Liu, J Chen, MH Yang IEEE Conference on Computer Vision and Pattern Recognition 2022, 2021 | 107 | 2021 |
| Investigating Tradeoffs in Real-World Video Super-Resolution KCK Chan, S Zhou, X Xu, CC Loy IEEE Conference on Computer Vision and Pattern Recognition 2022, 2021 | 90 | 2021 |
| Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising X Xu, M Li, W Sun, MH Yang IEEE Transactions on Image Processing 29, 7153-7165, 2020 | 88* | 2020 |
| 3d human shape and pose from a single low-resolution image with self-supervised learning X Xu, H Chen, F Moreno-Noguer, LA Jeni, F De la Torre Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 59 | 2020 |
| NTIRE 2021 challenge on quality enhancement of compressed video: Methods and results R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 41 | 2021 |
| 3D Human Pose, Shape and Texture from Low-Resolution Images and Videos X Xu, H Chen, F Moreno-Noguer, LA Jeni, F De la Torre IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 39 | 2021 |
| 3D Human Texture Estimation from a Single Image with Transformers X Xu, CC Loy IEEE International Conference on Computer Vision 2021, 2021 | 38 | 2021 |
| NTIRE 2021 challenge on video super-resolution S Son, S Lee, S Nah, R Timofte, KM Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 36 | 2021 |
| Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering M Chen, J Zhang, X Xu, L Liu, J Feng, S Yan European Conference on Computer Vision 2022, 2021 | 35 | 2021 |
| Rendering Portraitures from Monocular Camera and Beyond X Xu, D Sun, S Liu, W Ren, YJ Zhang, MH Yang, J Sun European Conference on Computer Vision 2018, 35-50, 2018 | 29 | 2018 |
Ming-Hsuan YangUniversity of California at Merced; Google DeepMind在 ucmerced.edu 的电子邮件经过验证
