| A naturalistic open source movie for optical flow evaluation DJ Butler, J Wulff, GB Stanley, MJ Black European conference on computer vision, 611-625, 2012 | 1165 | 2012 |
| 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 | 145* | 2019 |
| Efficient sparse-to-dense optical flow estimation using a learned basis and layers J Wulff, MJ Black Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 123 | 2015 |
| 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 | 79 | 2013 |
| Semantic photo manipulation with a generative image prior D Bau, H Strobelt, W Peebles, B Zhou, JY Zhu, A Torralba arXiv preprint arXiv:2005.07727, 2020 | 78 | 2020 |
| Optical flow in mostly rigid scenes J Wulff, L Sevilla-Lara, MJ Black Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 76 | 2017 |
| Classification of colon polyps in NBI endoscopy using vascularization features T Stehle, R Auer, S Gross, A Behrens, J Wulff, T Aach, R Winograd, ... Medical Imaging 2009: Computer-Aided Diagnosis 7260, 72602S, 2009 | 69 | 2009 |
| Seeing what a gan cannot generate D Bau, JY Zhu, J Wulff, W Peebles, H Strobelt, B Zhou, A Torralba Proceedings of the IEEE International Conference on Computer Vision, 4502-4511, 2019 | 58 | 2019 |
| Modeling blurred video with layers J Wulff, MJ Black European Conference on Computer Vision, 236-252, 2014 | 56 | 2014 |
| Lessons and insights from creating a synthetic optical flow benchmark J Wulff, DJ Butler, GB Stanley, MJ Black European Conference on Computer Vision, 168-177, 2012 | 55 | 2012 |
| Slow flow: Exploiting high-speed cameras for accurate and diverse optical flow reference data J Janai, F Guney, J Wulff, MJ Black, A Geiger Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 45 | 2017 |
| Adversarial collaboration: Joint unsupervised learning of depth, camera motion, optical flow and motion segmentation A Ranjan, V Jampani, K Kim, D Sun, J Wulff, MJ Black arXiv preprint arXiv:1805.09806 2 (6), 2018 | 32 | 2018 |
| Polyp segmentation in NBI colonoscopy S Gross, M Kennel, T Stehle, J Wulff, J Tischendorf, C Trautwein, T Aach Bildverarbeitung für die Medizin 2009, 252-256, 2009 | 30 | 2009 |
| Dynamic distortion correction for endoscopy systems with exchangeable optics T Stehle, M Hennes, S Gross, A Behrens, J Wulff, T Aach Bildverarbeitung für die Medizin 2009, 142-146, 2009 | 12 | 2009 |
| MPI-Sintel optical flow benchmark: Supplemental material D Butler, J Wulff, G Stanley, M Black MPI-IS-TR-006, MPI for Intelligent Systems (2012, 2012 | 8 | 2012 |
| Smooth loops from unconstrained video L Sevilla‐Lara, J Wulff, K Sunkavalli, E Shechtman Computer Graphics Forum 34 (4), 99-107, 2015 | 7 | 2015 |
| Inverting layers of a large generator D Bau, JY Zhu, J Wulff, W Peebles, H Strobelt, B Zhou, A Torralba ICLR Workshop 2 (3), 4, 2019 | 6 | 2019 |
| Establishing cross-modal mappings: empirical and computational investigations P Sinha, J Wulff, R Held Sensory integration and the unity of consciousness, 171, 2014 | 5 | 2014 |
| Temporal interpolation as an unsupervised pretraining task for optical flow estimation J Wulff, MJ Black German Conference on Pattern Recognition, 567-582, 2018 | 4 | 2018 |
| Denoising Fluorescence Endoscopy: A Motion-Compensated Temporal Recursive Video Filter T Stehle, J Wulff, A Behrens, S Gross, T Aach Proceedings IEEE, 314-317, 2009 | 3* | 2009 |
Michael J. BlackMax Planck Institute for Intelligent Systems and AmazonVerified email at tuebingen.mpg.de
