| Acquisition of localization confidence for accurate object detection B Jiang, R Luo, J Mao, T Xiao, Y Jiang Proceedings of the European conference on computer vision (ECCV), 784-799, 2018 | 1264 | 2018 |
| The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision J Mao, C Gan, P Kohli, JB Tenenbaum, J Wu arXiv preprint arXiv:1904.12584, 2019 | 1059 | 2019 |
| Neural logic machines H Dong, J Mao, T Lin, C Wang, L Li, D Zhou arXiv preprint arXiv:1904.11694, 2019 | 411 | 2019 |
| What can help pedestrian detection? J Mao, T Xiao, Y Jiang, Z Cao Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 371 | 2017 |
| Unified visual-semantic embeddings: Bridging vision and language with structured meaning representations H Wu, J Mao, Y Zhang, Y Jiang, L Li, W Sun, WY Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 240 | 2019 |
| Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making M Li, S Zhao, Q Wang, K Wang, Y Zhou, S Srivastava, C Gokmen, T Lee, ... Advances in Neural Information Processing Systems 37, 100428-100534, 2024 | 151 | 2024 |
| Agent Workflow Memory Z Zhiruo Wang, J Mao, D Fried, G Neubig arXiv e-prints, arXiv: 2409.07429, 2024 | 147* | 2024 |
| Learning to act from actionless videos through dense correspondences PC Ko, J Mao, Y Du, SH Sun, JB Tenenbaum arXiv preprint arXiv:2310.08576, 2023 | 133 | 2023 |
| Grounding physical object and event concepts through dynamic visual reasoning Z Chen, J Mao, J Wu, KYK Wong, JB Tenenbaum, C Gan International Conference on Learning Representations, 2021 | 115* | 2021 |
| Visually grounded neural syntax acquisition F Shi, J Mao, K Gimpel, K Livescu Proceedings of the 57th annual meeting of the Association for Computational …, 2019 | 99 | 2019 |
| Visual concept-metaconcept learning C Han, J Mao, C Gan, J Tenenbaum, J Wu Advances in Neural Information Processing Systems 32, 2019 | 92 | 2019 |
| Ns3d: Neuro-symbolic grounding of 3d objects and relations J Hsu, J Mao, J Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 72 | 2023 |
| Learning visually-grounded semantics from contrastive adversarial samples F Shi, J Mao, T Xiao, Y Jiang, J Sun Proceedings of the 27th international conference on computational …, 2018 | 56 | 2018 |
| Learning Adaptive Planning Representations with Natural Language Guidance L Wong, J Mao, P Sharma, ZS Siegel, J Feng, N Korneev, JB Tenenbaum, ... arXiv preprint arXiv:2312.08566, 2023 | 55* | 2023 |
| Programmatically grounded, compositionally generalizable robotic manipulation R Wang, J Mao, J Hsu, H Zhao, J Wu, Y Gao arXiv preprint arXiv:2304.13826, 2023 | 54 | 2023 |
| What’s Left? Concept Grounding with Logic-Enhanced Foundation Models J Hsu, J Mao, J Tenenbaum, J Wu Advances in Neural Information Processing Systems 36, 38798-38814, 2023 | 51 | 2023 |
| Pdsketch: Integrated domain programming, learning, and planning J Mao, T Lozano-Pérez, J Tenenbaum, L Kaelbling Advances in Neural Information Processing Systems 35, 36972-36984, 2022 | 51 | 2022 |
| Compositional diffusion-based continuous constraint solvers Z Yang, J Mao, Y Du, J Wu, JB Tenenbaum, T Lozano-Pérez, ... arXiv preprint arXiv:2309.00966, 2023 | 43 | 2023 |
| Handmethat: Human-robot communication in physical and social environments Y Wan, J Mao, J Tenenbaum Advances in Neural Information Processing Systems 35, 12014-12026, 2022 | 37 | 2022 |
| Learning Iterative Reasoning through Energy Diffusion Y Du, J Mao, JB Tenenbaum arXiv preprint arXiv:2406.11179, 2024 | 30 | 2024 |
Joshua B. TenenbaumMITVerified email at mit.edu
