| On the Opportunities and Risks of Foundation Models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 4276 | 2021 |
| 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 | 2387 | 2016 |
| SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations C Meng, Y He, Y Song, J Song, J Wu, JY Zhu, S Ermon International Conference on Learning Representations, 2022 | 1508* | 2022 |
| 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 | 1494 | 2019 |
| pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis ER Chan, M Monteiro, P Kellnhofer, J Wu, G Wetzstein Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 913 | 2021 |
| 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 | 848 | 2019 |
| 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 | 717 | 2018 |
| 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 | 550 | 2018 |
| 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 | 525 | 2015 |
| Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks T Xue, J Wu, KL Bouman, WT Freeman Advances in Neural Information Processing Systems, 91-99, 2016 | 515 | 2016 |
| MarrNet: 3D Shape Reconstruction via 2.5D Sketches J Wu, Y Wang, T Xue, X Sun, WT Freeman, JB Tenenbaum Advances in Neural Information Processing Systems, 540-550, 2017 | 512 | 2017 |
| 3D Shape Generation and Completion Through Point-Voxel Diffusion L Zhou, Y Du, J Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 501 | 2021 |
| 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 | 496 | 2016 |
| CLEVRER: CoLlision Events for Video REpresentation and Reasoning K Yi, C Gan, Y Li, P Kohli, J Wu, A Torralba, JB Tenenbaum International Conference on Learning Representations, 2020 | 485 | 2020 |
| 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 | 433 | 2015 |
| VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models W Huang, C Wang, R Zhang, Y Li, J Wu, L Fei-Fei 7th Annual Conference on Robot Learning, 2023 | 402 | 2023 |
| Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Y Li, J Wu, R Tedrake, JB Tenenbaum, A Torralba International Conference on Learning Representations, 2018 | 397 | 2018 |
| Open X-Embodiment: Robotic Learning Datasets and RT-X Models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023 | 374* | 2023 |
| 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 | 373 | 2016 |
| ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics Y Hu, J Liu, A Spielberg, JB Tenenbaum, WT Freeman, J Wu, D Rus, ... 2019 International Conference on Robotics and Automation (ICRA), 6265-6271, 2019 | 297 | 2019 |
Joshua B. TenenbaumMITEmail verificata su mit.edu
