| Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling J Wu, C Zhang, T Xue, WT Freeman, J Tenenbaum Advances in Neural Information Processing Systems, 82-90, 2016 | 1756 | 2016 |
| Video enhancement with task-oriented flow T Xue, B Chen, J Wu, D Wei, WT Freeman International Journal of Computer Vision 127, 1106-1125, 2019 | 822 | 2019 |
| Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks T Xue, J Wu, K Bouman, WT Freeman Advances In Neural Information Processing Systems, 91-99, 2016 | 458 | 2016 |
| Marrnet: 3d shape reconstruction via 2.5 d sketches J Wu, Y Wang, T Xue, X Sun, B Freeman, J Tenenbaum Advances in neural information processing systems 30, 2017 | 406 | 2017 |
| Single image 3d interpreter network J Wu, T Xue, JJ Lim, Y Tian, JB Tenenbaum, A Torralba, WT Freeman Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 354 | 2016 |
| Pix3d: Dataset and methods for single-image 3d shape modeling X Sun, J Wu, X Zhang, Z Zhang, C Zhang, T Xue, JB Tenenbaum, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 347 | 2018 |
| Unprocessing images for learned raw denoising T Brooks, B Mildenhall, T Xue, J Chen, D Sharlet, JT Barron Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 298 | 2019 |
| A computational approach for obstruction-free photography T Xue, M Rubinstein, C Liu, WT Freeman ACM Transactions on Graphics (TOG) 34 (4), 1-11, 2015 | 236 | 2015 |
| Joint example-based depth map super-resolution Y Li, T Xue, L Sun, J Liu 2012 IEEE international conference on multimedia and expo, 152-157, 2012 | 103 | 2012 |
| Handheld mobile photography in very low light. O Liba, K Murthy, YT Tsai, T Brooks, T Xue, N Karnad, Q He, JT Barron, ... ACM Trans. Graph. 38 (6), 164:1-164:16, 2019 | 74 | 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 and machine intelligence 40 (8), 1799-1813, 2017 | 72 | 2017 |
| Neural light transport for relighting and view synthesis X Zhang, S Fanello, YT Tsai, T Sun, T Xue, R Pandey, S Orts-Escolano, ... ACM Transactions on Graphics (TOG) 40 (1), 1-17, 2021 | 51 | 2021 |
| Refraction wiggles for measuring fluid depth and velocity from video T Xue, M Rubinstein, N Wadhwa, A Levin, F Durand, WT Freeman Proc. of European Conference on Computer Vision (ECCV), 767-782, 2014 | 47 | 2014 |
| Example-based 3D object reconstruction from line drawings T Xue, J Liu, X Tang 2012 IEEE Conference on Computer Vision and Pattern Recognition, 302-309, 2012 | 40 | 2012 |
| Joint bilateral learning for real-time universal photorealistic style transfer X Xia, M Zhang, T Xue, Z Sun, H Fang, B Kulis, J Chen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 35 | 2020 |
| Sparse representation over discriminative dictionary for stereo matching J Yin, H Zhu, D Yuan, T Xue Pattern Recognition 71, 278-289, 2017 | 33 | 2017 |
| Symmetric piecewise planar object reconstruction from a single image T Xue, J Liu, X Tang CVPR 2011, 2577-2584, 2011 | 33 | 2011 |
| Visual dynamics: Stochastic future generation via layered cross convolutional networks T Xue, J Wu, KL Bouman, WT Freeman IEEE transactions on pattern analysis and machine intelligence 41 (9), 2236-2250, 2018 | 30 | 2018 |
| 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 | 29 | 2018 |
| 3D interpreter networks for viewer-centered wireframe modeling J Wu, T Xue, JJ Lim, Y Tian, JB Tenenbaum, A Torralba, WT Freeman International Journal of Computer Vision 126, 1009-1026, 2018 | 25 | 2018 |
William T. FreemanProfessor of Computer Science, MITVerified email at mit.edu
