| Looking to listen at the cocktail party: A speaker-independent audio-visual model for speech separation A Ephrat, I Mosseri, O Lang, T Dekel, K Wilson, A Hassidim, WT Freeman, ... arXiv preprint arXiv:1804.03619, 2018 | 273 | 2018 |
| Multi-view scene flow estimation: A view centered variational approach T Basha, Y Moses, N Kiryati International journal of computer vision 101 (1), 6-21, 2013 | 171 | 2013 |
| Singan: Learning a generative model from a single natural image TR Shaham, T Dekel, T Michaeli Proceedings of the IEEE International Conference on Computer Vision, 4570-4580, 2019 | 163 | 2019 |
| Stereo seam carving a geometrically consistent approach TD Basha, Y Moses, S Avidan IEEE transactions on pattern analysis and machine intelligence 35 (10), 2513 …, 2013 | 134* | 2013 |
| Best-buddies similarity for robust template matching T Dekel, S Oron, M Rubinstein, S Avidan, WT Freeman Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 109 | 2015 |
| Learning the depths of moving people by watching frozen people Z Li, T Dekel, F Cole, R Tucker, N Snavely, C Liu, WT Freeman Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 71 | 2019 |
| Photo sequencing T Basha, Y Moses, S Avidan European Conference on Computer Vision, 654-667, 2012 | 53 | 2012 |
| Speech2face: Learning the face behind a voice TH Oh, T Dekel, C Kim, I Mosseri, WT Freeman, M Rubinstein, W Matusik Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 45 | 2019 |
| Best-Buddies Similarity - Robust Template Matching using Mutual Nearest Neighbors S Oron, T Dekel, T Xue, WT Freeman, S Avidan IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017 | 41 | 2017 |
| Sparse, smart contours to represent and edit images T Dekel, C Gan, D Krishnan, C Liu, WT Freeman Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 35* | 2018 |
| Structure and motion from scene registration T Basha, S Avidan, A Hornung, W Matusik 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1426-1433, 2012 | 33 | 2012 |
| On the Effectiveness of Visible Watermarks T Dekel, M Rubinstein, C Liu, WT Freeman | 27 | 2017 |
| Revealing and modifying non-local variations in a single image T Dekel, T Michaeli, M Irani, WT Freeman ACM Transactions on Graphics (TOG) 34 (6), 1-11, 2015 | 27 | 2015 |
| SpeedNet: Learning the Speediness in Videos S Benaim, A Ephrat, O Lang, I Mosseri, WT Freeman, M Rubinstein, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 23 | 2020 |
| Mosculp: Interactive visualization of shape and time X Zhang, T Dekel, T Xue, A Owens, Q He, J Wu, S Mueller, WT Freeman Proceedings of the 31st Annual ACM Symposium on User Interface Software and …, 2018 | 19 | 2018 |
| Racing Bib Numbers Recognition. I Ben-Ami, T Basha, S Avidan BMVC, 1-10, 2012 | 19 | 2012 |
| Space-time tradeoffs in photo sequencing T Dekel, Y Moses, S Avidan Proceedings of the IEEE International Conference on Computer Vision, 977-984, 2013 | 18* | 2013 |
| Photo sequencing T Dekel, Y Moses, S Avidan International journal of computer vision 110 (3), 275-289, 2014 | 9 | 2014 |
| Space-time tradeoffs in photo sequencing TD Basha, Y Moses, S Avidan ICCV, 2013 | 8 | 2013 |
| Modifying Non-Local Variations Across Multiple Views T Tlusty, T Michaeli, T Dekel, L Zelnik-Manor | 7 | 2018 |
William T. FreemanProfessor of Computer Science, MITVerified email at mit.edu
