Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space

Tianmin Shu, Yujia Peng, Hongjing Lu, and Song-Chun Zhu.

41st Annual Meeting of the Cognitive Science Society (CogSci), 2019.

(Oral presentation)

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VRKitchen: an Interactive 3D Environment for Learning Real Life Cooking Tasks

Xiaofeng Gao, Ran Gong, Tianmin Shu, Xu Xie, Shu Wang, and Song-Chun Zhu.

ICML workshop on Reinforcement Learning for Real Life, 2019.

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M^3RL: Mind-aware Multi-agent Management Reinforcement Learning

Tianmin Shu and Yuandong Tian.

7th International Conference on Learning Representations (ICLR), 2019.

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Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks

Ping Wei, Yang Liu, Tianmin Shu, Nanning Zheng, and Song-Chun Zhu.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

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Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning

Tianmin Shu, Caiming Xiong, and Richard Socher.

6th International Conference on Learning Representations (ICLR), 2018.

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Learning and Inferring "Dark Matter"
and Predicting Human Intents and Trajectories in Videos

Dan Xie, Tianmin Shu, Sinisa Todorovic, and Song-Chun Zhu.

IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 40(7): 1639-1652, 2018.

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Perception of Human Interaction Based on Motion Trajectories: from Aerial Videos to Decontextualized Animations

Tianmin Shu*, Yujia Peng*, Lifeng Fan, Hongjing Lu, and Song-Chun Zhu.

Topics in Cognitive Science, 10(1): 225 - 241, 2018.

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Inferring Human Interaction from Motion Trajectories in Aerial Videos

Tianmin Shu*, Yujia Peng*, Lifeng Fan, Hongjing Lu, and Song-Chun Zhu.

39th Annual Meeting of the Cognitive Science Society (CogSci), 2017.

(Computational Modeling Prize)

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CERN: Confidence-Energy Recurrent Network for Group Activity Recognition

Tianmin Shu, Sinisa Todorovic, and Song-Chun Zhu.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Paper   Supp   Bibtex

Learning Social Affordance Grammar from Videos:
Transferring Human Interactions to Human-Robot Interactions

Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, and Song-Chun Zhu.

IEEE International Conference on Robotics and Automation (ICRA), 2017.

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Critical Features of Joint Actions that Signal Human Interaction

Tianmin Shu*, Steven Thurman*, Dawn Chen, Song-Chun Zhu, and Hongjing Lu.

38th Annual Meeting of the Cognitive Science Society (CogSci), 2016.

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Learning Social Affordance for Human-Robot Interaction

Tianmin Shu, M. S. Ryoo, and Song-Chun Zhu.

25th International Joint Conference on Artificial Intelligence (IJCAI), 2016.

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Joint Inference of Groups, Events and Human Roles in Aerial Videos

Tianmin Shu, Dan Xie, Brandon Rothrock, Sinisa Todorovic, and Song-Chun Zhu.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

(Oral presentation, acceptance rate: 71/2123 = 3.3%)

Paper   Project   Supp  Slides   Bibtex