| 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 | 1495 | 2010 |
| 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 | 664 | 2018 |
| 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 | 549 | 2017 |
| 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 | 476 | 2014 |
| 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 | 368 | 2016 |
| Learning optical flow D Sun, S Roth, JP Lewis, M Black Computer Vision–ECCV 2008, 2008 | 305 | 2008 |
| 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 | 302 | 2018 |
| On Bayesian adaptive video super resolution C Liu, D Sun Pattern Analysis and Machine Intelligence, IEEE Transactions on 36 (2), 346 …, 2014 | 215 | 2014 |
| 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 | 205 | 2018 |
| A bayesian approach to adaptive video super resolution C Liu, D Sun CVPR 2011, 209-216, 2011 | 201 | 2011 |
| 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 | 137 | 2016 |
| Postprocessing of low bit-rate block DCT coded images based on a fields of experts prior D Sun, WK Cham Image Processing, IEEE Transactions on 16 (11), 2743-2751, 2007 | 136 | 2007 |
| 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 conference on computer vision and pattern …, 2019 | 134* | 2019 |
| Layered image motion with explicit occlusions, temporal consistency, and depth ordering D Sun, E Sudderth, M Black Advances in Neural Information Processing Systems 23, 2226-2234, 2010 | 130 | 2010 |
| Layered segmentation and optical flow estimation over time D Sun, EB Sudderth, MJ Black 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1768-1775, 2012 | 125 | 2012 |
| 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 | 89 | 2017 |
| 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 | 81 | 2015 |
| Interactive intrinsic video editing N Bonneel, K Sunkavalli, J Tompkin, D Sun, S Paris, H Pfister ACM Transactions on Graphics (SIGGRAPH ASIA) 33 (6), 197, 2014 | 77 | 2014 |
| A fully-connected layered model of foreground and background flow D Sun, J Wulff, EB Sudderth, H Pfister, MJ Black Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 77 | 2013 |
| 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 | 71 | 2018 |
Michael J. BlackMax Planck Institute for Intelligent Systems and AmazonEmail verificata su tuebingen.mpg.de
