Các bài viết có thể truy cập công khai - Chuang GanTìm hiểu thêm
Không có ở bất kỳ nơi nào: 3
Recognizing an action using its name: A knowledge-based approach
C Gan, Y Yang, L Zhu, D Zhao, Y Zhuang
International Journal of Computer Vision 120, 61-77, 2016
Các cơ quan ủy nhiệm: Australian Research Council, National Natural Science Foundation of China
Text-instance graph: Exploring the relational semantics for text-based visual question answering
X Li, B Wu, J Song, L Gao, P Zeng, C Gan
Pattern Recognition 124, 108455, 2021
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Watch, reason and code: Learning to represent videos using program
X Duan, Q Wu, C Gan, Y Zhang, W Huang, A Van Den Hengel, W Zhu
Proceedings of the 27th ACM International Conference on Multimedia, 1543-1551, 2019
Các cơ quan ủy nhiệm: Australian Research Council, National Natural Science Foundation of China
Có tại một số nơi: 89
Neural-symbolic vqa: Disentangling reasoning from vision and language understanding
K Yi, J Wu, C Gan, A Torralba, P Kohli, JB Tenenbaum
NeurIPS, 2018
Các cơ quan ủy nhiệm: US Department of Defense
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
Các cơ quan ủy nhiệm: US National Science Foundation
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
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Mcunet: Tiny deep learning on iot devices
J Lin, WM Chen, Y Lin, J Cohn, C Gan, S Han
NeurIPS, 2020
Các cơ quan ủy nhiệm: US National Science Foundation
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
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Energy, US Department of …
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
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
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
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
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
Các cơ quan ủy nhiệm: US National Science Foundation
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
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
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
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
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
Các cơ quan ủy nhiệm: European Commission, Agence Nationale de la Recherche
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
Các cơ quan ủy nhiệm: US Department of Defense
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
Các cơ quan ủy nhiệm: US National Science Foundation
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
Các cơ quan ủy nhiệm: US Department of Defense
Learning attributes equals multi-source domain generalization
C Gan, T Yang, B Gong
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Các cơ quan ủy nhiệm: US National Science Foundation, National Natural Science Foundation of China
On-device training under 256kb memory
J Lin, L Zhu, WM Chen, WC Wang, C Gan, S Han
Advances in Neural Information Processing Systems 35, 22941-22954, 2022
Các cơ quan ủy nhiệm: US National Science Foundation
Music gesture for visual sound separation
C Gan, D Huang, H Zhao, JB Tenenbaum, A Torralba
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Chương trình máy tính sẽ tự động xác định thông tin xuất bản và thông tin về nhà tài trợ