Tianmin Shu
Tianmin Shu
Assistant Professor, JHU
Verified email at - Homepage
Cited by
Cited by
Rlprompt: Optimizing discrete text prompts with reinforcement learning
M Deng, J Wang, CP Hsieh, Y Wang, H Guo, T Shu, M Song, EP Xing, ...
arXiv preprint arXiv:2205.12548, 2022
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
T Shu, S Todorovic, SC Zhu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017
Joint Inference of Groups, Events and Human Roles in Aerial Videos
T Shu, D Xie, B Rothrock, S Todorovic, SC Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
T Shu, C Xiong, R Socher
6th International Conference on Learning Representations (ICLR), 2018
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
The Ninth International Conference on Learning Representations, 2021
Learning and inferring “dark matter” and predicting human intents and trajectories in videos
D Xie, T Shu, S Todorovic, SC Zhu
IEEE transactions on pattern analysis and machine intelligence 40 (7), 1639-1652, 2017
Active visual information gathering for vision-language navigation
H Wang, W Wang, T Shu, W Liang, J Shen
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Learning Social Affordance for Human-Robot Interaction
T Shu, MS Ryoo, SC Zhu
The 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016, 2016
AGENT: A Benchmark for Core Psychological Reasoning
T Shu, A Bhandwaldar, C Gan, KA Smith, S Liu, D Gutfreund, E Spelke, ...
The Thirty-eighth International Conference on Machine Learning (ICML), 2021
Vrkitchen: an interactive 3d virtual environment for task-oriented learning
X Gao, R Gong, T Shu, X Xie, S Wang, SC Zhu
arXiv preprint arXiv:1903.05757, 2019
Where and why are they looking? jointly inferring human attention and intentions in complex tasks
P Wei, Y Liu, T Shu, N Zheng, SC Zhu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning
T Shu, Y Tian
7th International Conference on Learning Representations (ICLR), 2019
Language models meet world models: Embodied experiences enhance language models
J Xiang, T Tao, Y Gu, T Shu, Z Wang, Z Yang, Z Hu
Advances in neural information processing systems 36, 2024
Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions
T Shu, X Gao, MS Ryoo, SC Zhu
The IEEE International Conference on Robotics and Automation (ICRA), 2017, 2017
Joint mind modeling for explanation generation in complex human-robot collaborative tasks
X Gao, R Gong, Y Zhao, S Wang, T Shu, SC Zhu
2020 29th IEEE international conference on robot and human interactive …, 2020
Building cooperative embodied agents modularly with large language models
H Zhang, W Du, J Shan, Q Zhou, Y Du, JB Tenenbaum, T Shu, C Gan
arXiv preprint arXiv:2307.02485, 2023
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
A Netanyahu, T Shu, B Katz, A Barbu, JB Tenenbaum
35th AAAI Conference on Artificial Intelligence (AAAI), 2021
Perception of human interaction based on motion trajectories: From aerial videos to decontextualized animations
T Shu, Y Peng, L Fan, H Lu, SC Zhu
Topics in cognitive science 10 (1), 225-241, 2018
Social interactions as recursive mdps
R Tejwani, YL Kuo, T Shu, B Katz, A Barbu
Conference on Robot Learning, 949-958, 2022
Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics
T Shu, M Kryven, TD Ullman, JB Tenenbaum
42nd Annual Meeting of the Cognitive Science Society (CogSci), 2020
The system can't perform the operation now. Try again later.
Articles 1–20