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Chuang Gan
Chuang Gan
UMass Amherst | MIT-IBM Watson AI Lab
Dirección de correo verificada de csail.mit.edu - Página principal
Título
Citado por
Citado por
Año
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
21392019
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
14142019
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
8062019
Neural-symbolic vqa: Disentangling reasoning from vision and language understanding
K Yi, J Wu, C Gan, A Torralba, P Kohli, JB Tenenbaum
NeurIPS, 2018
6932018
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
5972018
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
5882019
Mcunet: Tiny deep learning on iot devices
J Lin, WM Chen, Y Lin, J Cohn, C Gan, S Han
NeurIPS, 2020
5512020
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
5362017
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
K Yi, C Gan, Y Li, P Kohli, J Wu, A Torralba, JB Tenenbaum
ICLR, 2020
4512020
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
4002015
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
3752017
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
347*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
333*2020
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
3042020
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
2922020
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
2922019
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
2832021
The sound of motions
H Zhao, C Gan, WC Ma, A Torralba
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2792019
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
2792018
TransCenter: Transformers with dense representations for multiple-object tracking
Y Xu, Y Ban, G Delorme, C Gan, D Rus, X Alameda-Pineda
IEEE transactions on pattern analysis and machine intelligence 45 (6), 7820-7835, 2022
258*2022
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