| PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume D Sun, X Yang, MY Liu, J Kautz Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 2632 | 2018 |
| Secrets of optical flow estimation and their principles D Sun, S Roth, MJ Black 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 1982 | 2010 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1961 | 2017 |
| Super slomo: High quality estimation of multiple intermediate frames for video interpolation H Jiang, D Sun, V Jampani, MH Yang, E Learned-Miller, J Kautz Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 880 | 2018 |
| Blind image deblurring using dark channel prior J Pan, D Sun, H Pfister, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 875 | 2016 |
| Splatnet: Sparse lattice networks for point cloud processing H Su, V Jampani, D Sun, S Maji, E Kalogerakis, MH Yang, J Kautz Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 843 | 2018 |
| A quantitative analysis of current practices in optical flow estimation and the principles behind them D Sun, S Roth, MJ Black International Journal of Computer Vision 106 (2), 115-137, 2014 | 754 | 2014 |
| Competitive collaboration: Joint unsupervised learning of depth, camera motion, optical flow and motion segmentation A Ranjan, V Jampani, L Balles, K Kim, D Sun, J Wulff, MJ Black Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 689 | 2019 |
| On Bayesian adaptive video super resolution C Liu, D Sun Pattern Analysis and Machine Intelligence, IEEE Transactions on 36 (2), 346 …, 2014 | 526 | 2014 |
| Learning optical flow D Sun, S Roth, JP Lewis, M Black Computer Vision–ECCV 2008, 2008 | 391 | 2008 |
| Adaptive prototype learning and allocation for few-shot segmentation G Li, V Jampani, L Sevilla-Lara, D Sun, J Kim, J Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 350 | 2021 |
| Pixel-adaptive convolutional neural networks H Su, V Jampani, D Sun, O Gallo, E Learned-Miller, J Kautz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 328 | 2019 |
| A bayesian approach to adaptive video super resolution C Liu, D Sun CVPR 2011, 209-216, 2011 | 309 | 2011 |
| Deblurring images via dark channel prior J Pan, D Sun, H Pfister, MH Yang IEEE transactions on pattern analysis and machine intelligence 40 (10), 2315 …, 2017 | 275 | 2017 |
| Learning to super-resolve blurry face and text images X Xu, D Sun, J Pan, Y Zhang, H Pfister, MH Yang Proceedings of the IEEE international conference on computer vision, 251-260, 2017 | 267 | 2017 |
| Superpixel sampling networks V Jampani, D Sun, MY Liu, MH Yang, J Kautz Proceedings of the European Conference on Computer Vision (ECCV), 352-368, 2018 | 261 | 2018 |
| Learning dual convolutional neural networks for low-level vision J Pan, S Liu, D Sun, J Zhang, Y Liu, J Ren, Z Li, J Tang, H Lu, YW Tai, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 240* | 2018 |
| Optical flow with semantic segmentation and localized layers L Sevilla-Lara, D Sun, V Jampani, MJ Black Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 239 | 2016 |
| Models matter, so does training: An empirical study of cnns for optical flow estimation D Sun, X Yang, MY Liu, J Kautz IEEE transactions on pattern analysis and machine intelligence 42 (6), 1408-1423, 2019 | 215 | 2019 |
| Blind video temporal consistency N Bonneel, J Tompkin, K Sunkavalli, D Sun, S Paris, H Pfister ACM Transactions on Graphics (TOG) 34 (6), 1-9, 2015 | 176 | 2015 |
Ming-Hsuan YangUniversity of California at Merced; Google DeepMind在 ucmerced.edu 的电子邮件经过验证
