关注
Shuang Li
标题
引用次数
引用次数
年份
Joint detection and identification feature learning for person search
T Xiao*, S Li*, B Wang, L Lin, X Wang
Computer Vision and Pattern Recognition (CVPR), 2017, 2017
9882017
Learning Feature Pyramids for Human Pose Estimation
W Yang, S Li, W Ouyang, H Li, X Wang
International Conference on Computer Vision (ICCV), 2017, 2017
5922017
Person search with natural language description
S Li, T Xiao, H Li, B Zhou, D Yue, X Wang
Computer Vision and Pattern Recognition (CVPR), 2017, 2017
4192017
Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification
S Li, S Bak, P Carr, X Wang
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
4112018
Compositional Visual Generation with Composable Diffusion Models
N Liu*, S Li*, Y Du*, A Torralba, JB Tenenbaum
Proceedings of the European Conference on Computer Vision (ECCV), 2022, 2022
3192022
Identity-Aware Textual-Visual Matching with Latent Co-attention
S Li, T Xiao, H Li, W Yang, X Wang
International Conference on Computer Vision (ICCV), 2017, 2017
2782017
End-to-end deep learning for person search
T Xiao*, S Li*, B Wang, L Lin, X Wang
arXiv preprint arXiv:1604.01850 2 (2), 2016
2412016
Improving factuality and reasoning in language models through multiagent debate
Y Du, S Li, A Torralba, JB Tenenbaum, I Mordatch
arXiv preprint arXiv:2305.14325, 2023
2342023
Pre-Trained Language Models for Interactive Decision-Making
L Shuang, P Xavier, P Chris, D Yilun, W Clinton, F Linxi, C Tao, H De-An, ...
NeurIPS 2022, 2022
173*2022
Compositional visual generation with energy based models
Y Du, S Li, I Mordatch
Advances in Neural Information Processing Systems 33, 2020
134*2020
Conceptfusion: Open-set multimodal 3d mapping
KM Jatavallabhula, A Kuwajerwala, Q Gu, M Omama, T Chen, A Maalouf, ...
arXiv preprint arXiv:2302.07241, 2023
1292023
3D Neural Scene Representations for Visuomotor Control
Y Li*, S Li*, V Sitzmann, P Agrawal, A Torralba
Conference on Robot Learning, 112-123, 2022
1212022
Improved Contrastive Divergence Training of Energy Based Models
Y Du, S Li, J Tenenbaum, I Mordatch
ICML 2021, 2020
1202020
Watch-and-help: A challenge for social perception and human-AI collaboration
X Puig, T Shu, S Li, Z Wang, YH Liao, JB Tenenbaum, S Fidler, A Torralba
ICLR 2021, 2020
1072020
Question-Guided Hybrid Convolution for Visual Question Answering
P Gao, H Li, S Li, P Lu, Y LI, S Hoi, X Wang
Proceedings of the European Conference on Computer Vision (ECCV), 469-485, 2018
842018
Learning to Compose Visual Relations
N Liu*, S Li*, Y Du*, J Tenenbaum, A Torralba
Advances in Neural Information Processing Systems 34, 2021
69*2021
Unsupervised learning of compositional energy concepts
Y Du, S Li, Y Sharma, J Tenenbaum, I Mordatch
Advances in Neural Information Processing Systems 34, 15608-15620, 2021
672021
Energy-Based Models for Continual Learning
S Li, Y Du, GM van de Ven, I Mordatch
Conference on Lifelong Learning Agents, 2020
44*2020
Adaptive metric learning for saliency detection
S Li, H Lu, Z Lin, X Shen, B Price
IEEE Transactions on Image Processing (TIP) 24 (11), 3321-3331, 2015
442015
Compositional Foundation Models for Hierarchical Planning
A Ajay, S Han, Y Du, S Li, A Gupta, T Jaakkola, J Tenenbaum, L Kaelbling, ...
arXiv preprint arXiv:2309.08587, 2023
28*2023
系统目前无法执行此操作,请稍后再试。
文章 1–20