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Shuang Li
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Cited by
Cited by
Year
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
6832017
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
4362017
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
2842018
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
2222017
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
1712017
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
1562016
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
672018
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
422015
Improved Contrastive Divergence Training of Energy Based Models
Y Du, S Li, J Tenenbaum, I Mordatch
ICML 2021, 2020
312020
Compositional visual generation with energy based models
Y Du, S Li, I Mordatch
Advances in Neural Information Processing Systems 33, 2020
22*2020
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, Spotlight, 2020
192020
3d neural scene representations for visuomotor control
Y Li*, S Li*, V Sitzmann, P Agrawal, A Torralba
Conference on Robot Learning, 112-123, 2022
132022
Energy-Based Models for Continual Learning
S Li, Y Du, GM van de Ven, I Mordatch
Conference on Lifelong Learning Agents, 2020
12*2020
Learning to Compose Visual Relations
N Liu*, S Li*, Y Du*, J Tenenbaum, A Torralba
Advances in Neural Information Processing Systems 34, 2021
62021
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
62021
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, ...
arXiv preprint arXiv:2202.01771, 2022
42022
Can Image Retrieval help Visual Saliency Detection?
S Li, P Mathews
arXiv preprint arXiv:1709.08172, 2017
22017
Compositional Visual Generation with Composable Diffusion Models
N Liu*, S Li*, Y Du*, A Torralba, JB Tenenbaum
arXiv preprint arXiv:2206.01714, 2022
2022
Language Model Pre-training Improves Generalization in Policy Learning
S Li, X Puig, Y Du, E Akyürek, A Torralba, J Andreas, I Mordatch
2021
Going Beyond Images: 3D-Aware Representation Learning for Visuomotor Control
Y Li, S Li, V Sitzmann, P Agrawal, A Torralba
5th Annual Conference on Robot Learning, 2021
2021
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Articles 1–20