| Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling J Wu, C Zhang, T Xue, WT Freeman, JB Tenenbaum Advances In Neural Information Processing Systems, 82-90, 2016 | 881 | 2016 |
| Visual dynamics: Probabilistic future frame synthesis via cross convolutional networks T Xue, J Wu, K Bouman, B Freeman Advances in neural information processing systems, 91-99, 2016 | 318 | 2016 |
| Deep multiple instance learning for image classification and auto-annotation J Wu, Y Yu, C Huang, K Yu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3460-3469, 2015 | 287 | 2015 |
| Single image 3d interpreter network J Wu, T Xue, JJ Lim, Y Tian, JB Tenenbaum, A Torralba, WT Freeman European Conference on Computer Vision, 365-382, 2016 | 235 | 2016 |
| Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning J Wu, I Yildirim, JJ Lim, WT Freeman, JB Tenenbaum Advances in Neural Information Processing Systems, 127-135, 2015 | 217 | 2015 |
| Ambient sound provides supervision for visual learning A Owens, J Wu, JH McDermott, WT Freeman, A Torralba European Conference on Computer Vision, 801-816, 2016 | 210 | 2016 |
| Marrnet: 3d shape reconstruction via 2.5 d sketches J Wu, Y Wang, T Xue, X Sun, WT Freeman, JB Tenenbaum Advances in Neural Information Processing Systems, 540-550, 2017 | 185 | 2017 |
| Harvesting mid-level visual concepts from large-scale internet images Q Li, J Wu, Z Tu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 851-858, 2013 | 157 | 2013 |
| Video enhancement with task-oriented flow T Xue, B Chen, J Wu, D Wei, WT Freeman International Journal of Computer Vision 127 (8), 1106-1125, 2019 | 126 | 2019 |
| Unsupervised object class discovery via saliency-guided multiple class learning JY Zhu, J Wu, Y Xu, E Chang, Z Tu IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (4), 862-875, 2015 | 120 | 2015 |
| 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 | 111 | 2018 |
| Synthesizing 3d shapes via modeling multi-view depth maps and silhouettes with deep generative networks A Arsalan Soltani, H Huang, J Wu, TD Kulkarni, JB Tenenbaum Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 106 | 2017 |
| Learning to see physics via visual de-animation J Wu, E Lu, P Kohli, WT Freeman, JB Tenenbaum Advances in Neural Information Processing Systems, 153-164, 2017 | 105 | 2017 |
| Neural-symbolic vqa: Disentangling reasoning from vision and language understanding K Yi, J Wu, C Gan, A Torralba, P Kohli, JB Tenenbaum Advances in Neural Information Processing Systems, 1031-1042, 2018 | 100 | 2018 |
| The Neuro-Symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision J Mao, C Gan, P Kohli, JB Tenenbaum, J Wu International Conference on Learning Representations, 2019 | 92 | 2019 |
| Attention clusters: Purely attention based local feature integration for video classification X Long, C Gan, G de Melo, J Wu, X Liu, S Wen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 91 | 2018 |
| MILCut: A Sweeping Line Multiple Instance Learning Paradigm for Interactive Image Segmentation J Wu, Y Zhao, JY Zhu, S Luo, Z Tu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 256-263, 2014 | 83 | 2014 |
| Physics 101: Learning physical object properties from unlabeled videos J Wu, JJ Lim, H Zhang, JB Tenenbaum, WT Freeman British Machine Vision Conference (BMVC), 2016 | 74 | 2016 |
| Neural Scene De-rendering J Wu, JB Tenenbaum, P Kohli Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 72 | 2017 |
| Learning Shape Priors for Single-View 3D Completion and Reconstruction J Wu, C Zhang, X Zhang, Z Zhang, WT Freeman, JB Tenenbaum Proceedings of the European Conference on Computer Vision (ECCV), 646-662, 2018 | 57 | 2018 |
Joshua B. TenenbaumMITVerified email at mit.edu
