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ORCIDShuang Li 0013
Person information
- affiliation: University of Toronto and Vector Institute, Canada
- affiliation: Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA
- affiliation: Chinese University of Hong Kong, Department of Electronic Engineering, Hong Kong
Other persons with the same name
- Shuang Li — disambiguation page
- Shuang Li 0001 — Chinese Academy of Sciences, Institute of Geographical Sciences and Natural Resources Research, Beijing, China (and 1 more)
- Shuang Li 0002
![[0009-0006-6656-1515]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0006-6656-1515")
— Chinese University of Hong Kong, Shenzhen, China (and 1 more) - Shuang Li 0003 — University of California, Los Angeles, Department of Mathematics, USA (and 2 more)
- Shuang Li 0004 — Nanjing University of Aeronautics and Astronautics, College of Astronautics, China (and 1 more)
- Shuang Li 0005 — Chongqing University of Technology, School of Electrical and Electronic Engineering, China
- Shuang Li 0006 — Shandong University of Science and Technology, College of Geomatics, Qingdao, China (and 1 more)
- Shuang Li 0007 — Google Fiber (and 1 more)
- Shuang Li 0008 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China (and 2 more)
- Shuang Li 0009 — Wuhan Institute of Technology, School of Computer Science and Engineering / Hubei Province Key Laboratory of Intelligent Robot, China
- Shuang Li 0010 — Huaihua College, Department of Applied Mathematic, China
- Shuang Li 0011 — China University of Mining and Technology, School of Management, Xuzhou, China
- Shuang Li 0012 — Victoria University of Wellington, Victoria University of Wellington, New Zealand
- Shuang Li 0014 — University Hamburg, Department of Informatics, Technical Aspects of Multimodal Systems Group, Hamburg, Germany
- Shuang Li 0015 (aka: Shu'ang Li 0015) — Tsinghua University, School of Software, Beijing, China
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Conference and Workshop Papers
- 2023
[c22]Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao:
Open-vocabulary Panoptic Segmentation with Embedding Modulation. ICCV 2023: 1141-1150- [c21]Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba:
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. ICCV 2023: 2085-2095 - [c20]Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch:
Composing Ensembles of Pre-trained Models via Iterative Consensus. ICLR 2023 - [c19]Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal:
Compositional Foundation Models for Hierarchical Planning. NeurIPS 2023 - [c18]Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba:
FIND: A Function Description Benchmark for Evaluating Interpretability Methods. NeurIPS 2023 - [c17]Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba:
ConceptFusion: Open-set multimodal 3D mapping. Robotics: Science and Systems 2023 - 2022
- [c16]Shuang Li, Yilun Du, Gido van de Ven, Igor Mordatch:
Energy-Based Models for Continual Learning. CoLLAs 2022: 1-22 - [c15]Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum:
Compositional Visual Generation with Composable Diffusion Models. ECCV (17) 2022: 423-439 - [c14]Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch:
Learning Iterative Reasoning through Energy Minimization. ICML 2022: 5570-5582 - [c13]Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu:
Pre-Trained Language Models for Interactive Decision-Making. NeurIPS 2022 - 2021
- [c12]Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba:
3D Neural Scene Representations for Visuomotor Control. CoRL 2021: 112-123 - [c11]Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan C. Russell:
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. ICCV 2021: 1825-1835 - [c10]Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba:
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. ICLR 2021 - [c9]Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch:
Improved Contrastive Divergence Training of Energy-Based Models. ICML 2021: 2837-2848 - [c8]Yilun Du, Shuang Li, Yash Sharma, Josh Tenenbaum, Igor Mordatch:
Unsupervised Learning of Compositional Energy Concepts. NeurIPS 2021: 15608-15620 - [c7]Nan Liu, Shuang Li, Yilun Du, Josh Tenenbaum, Antonio Torralba:
Learning to Compose Visual Relations. NeurIPS 2021: 23166-23178 - 2020
- [c6]Yilun Du, Shuang Li, Igor Mordatch:
Compositional Visual Generation with Energy Based Models. NeurIPS 2020 - 2018
- [c5]Peng Gao, Hongsheng Li, Shuang Li, Pan Lu, Yikang Li, Steven C. H. Hoi, Xiaogang Wang:
Question-Guided Hybrid Convolution for Visual Question Answering. ECCV (1) 2018: 485-501 - 2017
- [c4]Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, Xiaogang Wang:
Joint Detection and Identification Feature Learning for Person Search. CVPR 2017: 3376-3385 - [c3]Shuang Li, Tong Xiao, Hongsheng Li, Bolei Zhou, Dayu Yue, Xiaogang Wang:
Person Search with Natural Language Description. CVPR 2017: 5187-5196 - [c2]Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, Xiaogang Wang:
Learning Feature Pyramids for Human Pose Estimation. ICCV 2017: 1290-1299 - [c1]Shuang Li, Tong Xiao, Hongsheng Li, Wei Yang, Xiaogang Wang:
Identity-Aware Textual-Visual Matching with Latent Co-attention. ICCV 2017: 1908-1917
Informal and Other Publications
- 2023
- [i22]Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba:
ConceptFusion: Open-set Multimodal 3D Mapping. CoRR abs/2302.07241 (2023) - [i21]Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao:
Open-vocabulary Panoptic Segmentation with Embedding Modulation. CoRR abs/2303.11324 (2023) - [i20]Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch:
Improving Factuality and Reasoning in Language Models through Multiagent Debate. CoRR abs/2305.14325 (2023) - [i19]Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba:
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. CoRR abs/2306.05357 (2023) - [i18]Sarah Schwettmann, Tamar Rott Shaham, Joanna Materzynska, Neil Chowdhury, Shuang Li, Jacob Andreas, David Bau, Antonio Torralba:
A Function Interpretation Benchmark for Evaluating Interpretability Methods. CoRR abs/2309.03886 (2023) - [i17]Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Josh Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal:
Compositional Foundation Models for Hierarchical Planning. CoRR abs/2309.08587 (2023) - 2022
- [i16]Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu:
Pre-Trained Language Models for Interactive Decision-Making. CoRR abs/2202.01771 (2022) - [i15]Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum:
Compositional Visual Generation with Composable Diffusion Models. CoRR abs/2206.01714 (2022) - [i14]Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch:
Learning Iterative Reasoning through Energy Minimization. CoRR abs/2206.15448 (2022) - [i13]Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch:
Composing Ensembles of Pre-trained Models via Iterative Consensus. CoRR abs/2210.11522 (2022) - 2021
- [i12]Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba:
3D Neural Scene Representations for Visuomotor Control. CoRR abs/2107.04004 (2021) - [i11]Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan C. Russell:
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. CoRR abs/2110.03562 (2021) - [i10]Yilun Du, Shuang Li, Yash Sharma, Joshua B. Tenenbaum, Igor Mordatch:
Unsupervised Learning of Compositional Energy Concepts. CoRR abs/2111.03042 (2021) - [i9]Nan Liu, Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba:
Learning to Compose Visual Relations. CoRR abs/2111.09297 (2021) - 2020
- [i8]Yilun Du, Shuang Li, Igor Mordatch:
Compositional Visual Generation and Inference with Energy Based Models. CoRR abs/2004.06030 (2020) - [i7]Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba:
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. CoRR abs/2010.09890 (2020) - [i6]Shuang Li, Yilun Du, Gido M. van de Ven, Antonio Torralba, Igor Mordatch:
Energy-Based Models for Continual Learning. CoRR abs/2011.12216 (2020) - [i5]Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch:
Improved Contrastive Divergence Training of Energy Based Models. CoRR abs/2012.01316 (2020) - 2018
- [i4]Peng Gao, Pan Lu, Hongsheng Li, Shuang Li, Yikang Li, Steven C. H. Hoi, Xiaogang Wang:
Question-Guided Hybrid Convolution for Visual Question Answering. CoRR abs/1808.02632 (2018) - 2017
- [i3]Shuang Li, Tong Xiao, Hongsheng Li, Bolei Zhou, Dayu Yue, Xiaogang Wang:
Person Search with Natural Language Description. CoRR abs/1702.05729 (2017) - [i2]Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, Xiaogang Wang:
Learning Feature Pyramids for Human Pose Estimation. CoRR abs/1708.01101 (2017) - [i1]Shuang Li, Tong Xiao, Hongsheng Li, Wei Yang, Xiaogang Wang:
Identity-Aware Textual-Visual Matching with Latent Co-attention. CoRR abs/1708.01988 (2017)
Coauthor Index
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