| Tsm: Temporal shift module for efficient video understanding J Lin, C Gan, S Han Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 2814 | 2019 |
| Once-for-all: Train one network and specialize it for efficient deployment H Cai, C Gan, T Wang, Z Zhang, S Han arXiv preprint arXiv:1908.09791, 2019 | 1869 | 2019 |
| AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration J Lin, J Tang, H Tang, S Yang, G Xiao, C Gan, S Han | 1721 | 2024 |
| The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision J Mao, C Gan, P Kohli, JB Tenenbaum, J Wu ICLR, 2019 | 1060 | 2019 |
| Neural-symbolic vqa: Disentangling reasoning from vision and language understanding K Yi, J Wu, C Gan, A Torralba, P Kohli, JB Tenenbaum NeurIPS, 2018 | 886 | 2018 |
| Mcunet: Tiny deep learning on iot devices J Lin, WM Chen, Y Lin, J Cohn, C Gan, S Han NeurIPS, 2020 | 844 | 2020 |
| The sound of pixels H Zhao, C Gan, A Rouditchenko, C Vondrick, J McDermott, A Torralba Proceedings of the European conference on computer vision (ECCV), 570-586, 2018 | 696 | 2018 |
| Graph convolutional networks for temporal action localization R Zeng, W Huang, M Tan, Y Rong, P Zhao, J Huang, C Gan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 681 | 2019 |
| CLEVRER: CoLlision Events for Video REpresentation and Reasoning K Yi, C Gan, Y Li, P Kohli, J Wu, A Torralba, JB Tenenbaum ICLR, 2020 | 661 | 2020 |
| Semantic compositional networks for visual captioning Z Gan, C Gan, X He, Y Pu, K Tran, J Gao, L Carin, L Deng Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 578 | 2017 |
| 3d-llm: Injecting the 3d world into large language models Y Hong, H Zhen, P Chen, S Zheng, Y Du, Z Chen, C Gan Advances in Neural Information Processing Systems 36, 20482-20494, 2023 | 567 | 2023 |
| Aligning large multimodal models with factually augmented rlhf Z Sun, S Shen, S Cao, H Liu, C Li, Y Shen, C Gan, L Gui, YX Wang, ... Findings of the Association for Computational Linguistics: ACL 2024, 13088-13110, 2024 | 565 | 2024 |
| Efficientvit: Lightweight multi-scale attention for high-resolution dense prediction H Cai, J Li, M Hu, C Gan, S Han Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 550* | 2023 |
| Tinytl: Reduce memory, not parameters for efficient on-device learning H Cai, C Gan, L Zhu, S Han Advances in Neural Information Processing Systems 33, 11285-11297, 2020 | 508* | 2020 |
| Principle-driven self-alignment of language models from scratch with minimal human supervision Z Sun, Y Shen, Q Zhou, H Zhang, Z Chen, D Cox, Y Yang, C Gan Advances in Neural Information Processing Systems 36, 2511-2565, 2023 | 473 | 2023 |
| Devnet: A deep event network for multimedia event detection and evidence recounting C Gan, N Wang, Y Yang, DY Yeung, AG Hauptmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 416 | 2015 |
| Building cooperative embodied agents modularly with large language models H Zhang, W Du, J Shan, Q Zhou, Y Du, JB Tenenbaum, T Shu, C Gan arXiv preprint arXiv:2307.02485, 2023 | 414 | 2023 |
| StyleNet: Generating Attractive Visual Captions with Styles C Gan, Z Gan, X He, J Gao, L Deng Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 412 | 2017 |
| Threedworld: A platform for interactive multi-modal physical simulation C Gan, J Schwartz, S Alter, M Schrimpf, J Traer, J De Freitas, J Kubilius, ... NeurIPS, 2021 | 397 | 2021 |
| Conceptgraphs: Open-vocabulary 3d scene graphs for perception and planning Q Gu, A Kuwajerwala, S Morin, KM Jatavallabhula, B Sen, A Agarwal, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 5021-5028, 2024 | 391 | 2024 |
Joshua B. TenenbaumMITVerified email at mit.edu
