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 | 1991 | 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 | 1316 | 2019 |
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 | 769 | 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 | 667 | 2018 |
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 | 571 | 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 | 554 | 2019 |
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 | 527 | 2017 |
Mcunet: Tiny deep learning on iot devices J Lin, WM Chen, Y Lin, J Cohn, C Gan, S Han NeurIPS, 2020 | 490 | 2020 |
CLEVRER: CoLlision Events for Video REpresentation and Reasoning K Yi, C Gan, Y Li, P Kohli, J Wu, A Torralba, JB Tenenbaum ICLR, 2020 | 426 | 2020 |
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 | 395 | 2015 |
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 | 365 | 2017 |
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 | 301* | 2020 |
Beyond rnns: Positional self-attention with co-attention for video question answering X Li, J Song, L Gao, X Liu, W Huang, X He, C Gan Proceedings of the AAAI conference on artificial intelligence 33 (01), 8658-8665, 2019 | 285 | 2019 |
Hat: Hardware-aware transformers for efficient natural language processing H Wang, Z Wu, Z Liu, H Cai, L Zhu, C Gan, S Han ACL, 2020 | 281 | 2020 |
Dense regression network for video grounding R Zeng, H Xu, W Huang, P Chen, M Tan, C Gan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 275 | 2020 |
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 | 273 | 2018 |
The sound of motions H Zhao, C Gan, WC Ma, A Torralba Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 269 | 2019 |
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 | 267 | 2021 |
End-to-End Learning of Motion Representation for Video Understanding L Fan, W Huang, C Gan, S Ermon, B Gong, J Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 247 | 2018 |
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration J Lin, J Tang, H Tang, S Yang, X Dang, C Gan, S Han arXiv preprint arXiv:2306.00978, 2023 | 245* | 2023 |