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Tianmin Shu
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2020 – today
- 2024
- [c31]Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu:
Neural Amortized Inference for Nested Multi-Agent Reasoning. AAAI 2024: 530-537 - [c30]Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu:
MMToM-QA: Multimodal Theory of Mind Question Answering. ACL (1) 2024: 16077-16102 - [c29]Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan:
Building Cooperative Embodied Agents Modularly with Large Language Models. ICLR 2024 - [c28]Andi Peng, Yuying Sun, Tianmin Shu, David Abel:
Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input. ICML 2024 - [c27]Yuening Zhang, Paul Robertson, Tianmin Shu, Sungkweon Hong, Brian C. Williams:
Risk-Bounded Online Team Interventions via Theory of Mind. ICRA 2024: 12964-12970 - [i34]Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu:
MMToM-QA: Multimodal Theory of Mind Question Answering. CoRR abs/2401.08743 (2024) - [i33]Lance Ying, Kunal Jha, Shivam Aarya, Joshua B. Tenenbaum, Antonio Torralba, Tianmin Shu:
GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment. CoRR abs/2403.11075 (2024) - [i32]Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Yilun Du, Chuang Gan:
COMBO: Compositional World Models for Embodied Multi-Agent Cooperation. CoRR abs/2404.10775 (2024) - [i31]Andi Peng, Yuying Sun, Tianmin Shu, David Abel:
Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input. CoRR abs/2405.14769 (2024) - [i30]Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu:
MuMA-ToM: Multi-modal Multi-Agent Theory of Mind. CoRR abs/2408.12574 (2024) - [i29]Lance Ying, Jason Xinyu Liu, Shivam Aarya, Yizirui Fang, Stefanie Tellex, Joshua B. Tenenbaum, Tianmin Shu:
SIFToM: Robust Spoken Instruction Following through Theory of Mind. CoRR abs/2409.10849 (2024) - [i28]Weihua Du, Qiushi Lyu, Jiaming Shan, Zhenting Qi, Hongxin Zhang, Sunli Chen, Andi Peng, Tianmin Shu, Kwonjoon Lee, Behzad Dariush, Chuang Gan:
Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge. CoRR abs/2411.01796 (2024) - 2023
- [c26]Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. AAAI 2023: 94-101 - [c25]Dianbo Liu, Vedant Shah, Oussama Boussif
, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Curtis Mozer, Nicolas Heess, Yoshua Bengio:
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. ICLR 2023 - [c24]Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. ICML 2023: 27630-27641 - [c23]Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba:
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. ICRA 2023: 7628-7634 - [c22]Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu:
Language Models Meet World Models: Embodied Experiences Enhance Language Models. NeurIPS 2023 - [i27]Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba:
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. CoRR abs/2301.05223 (2023) - [i26]Jiannan Xiang, Tianhua Tao, Yi Gu, Tianmin Shu, Zirui Wang, Zichao Yang, Zhiting Hu:
Language Models Meet World Models: Embodied Experiences Enhance Language Models. CoRR abs/2305.10626 (2023) - [i25]Hongxin Zhang, Weihua Du
Building Cooperative Embodied Agents Modularly with Large Language Models. CoRR abs/2307.02485 (2023) - [i24]Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal:
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. CoRR abs/2307.06333 (2023) - [i23]Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu:
Neural Amortized Inference for Nested Multi-agent Reasoning. CoRR abs/2308.11071 (2023) - [i22]Chuanyang Jin, Songyang Zhang, Tianmin Shu, Zhihan Cui:
The Cultural Psychology of Large Language Models: Is ChatGPT a Holistic or Analytic Thinker? CoRR abs/2308.14242 (2023) - [i21]Zhiting Hu, Tianmin Shu:
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning. CoRR abs/2312.05230 (2023) - 2022
- [j4]Xiaofeng Gao
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. IEEE Robotics Autom. Lett. 7(2): 2644-2651 (2022) - [c21]Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. EMNLP 2022: 3369-3391 - [c20]Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal:
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. ICML 2022: 16480-16495 - [c19]Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Incorporating Rich Social Interactions Into MDPs. ICRA 2022: 7395-7401 - [i20]Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio:
Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel. CoRR abs/2205.10607 (2022) - [i19]Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu:
RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning. CoRR abs/2205.12548 (2022) - [i18]Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio:
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2210.03022 (2022) - [i17]Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal:
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. CoRR abs/2211.15339 (2022) - 2021
- [c18]Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum:
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. AAAI 2021: 845-853 - [c17]Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Boris Katz, Andrei Barbu:
Social Interactions as Recursive MDPs. CoRL 2021: 949-958 - [c16]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 - [c15]Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman:
AGENT: A Benchmark for Core Psychological Reasoning. ICML 2021: 9614-9625 - [i16]Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman:
AGENT: A Benchmark for Core Psychological Reasoning. CoRR abs/2102.12321 (2021) - [i15]Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum:
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. CoRR abs/2103.01933 (2021) - [i14]Xiaofeng Gao
Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration. CoRR abs/2103.04077 (2021) - [i13]Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Incorporating Rich Social Interactions Into MDPs. CoRR abs/2110.10298 (2021) - 2020
- [j3]Zhixiong Nan
Learning to infer human attention in daily activities. Pattern Recognit. 103: 107314 (2020) - [c14]Jon Gauthier, Jiayuan Mao, Tianmin Shu, Roger Levy, Josh Tenenbaum:
Jointly learning motion verbs and frame semantics from natural language and grounded scenes. CogSci 2020 - [c13]Tianmin Shu, Marta Kryven, Tomer D. Ullman, Josh Tenenbaum:
Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics. CogSci 2020 - [c12]Hanqing Wang, Wenguan Wang
Active Visual Information Gathering for Vision-Language Navigation. ECCV (22) 2020: 307-322 - [c11]Xiaofeng Gao
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks. RO-MAN 2020: 1119-1126 - [i12]Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen:
Active Visual Information Gathering for Vision-Language Navigation. CoRR abs/2007.08037 (2020) - [i11]Xiaofeng Gao, Ran Gong, Yizhou Zhao, Shu Wang, Tianmin Shu, Song-Chun Zhu:
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks. CoRR abs/2007.12803 (2020) - [i10]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)
2010 – 2019
- 2019
- [b1]Tianmin Shu:
Social Scene Understanding: Group Activity Parsing, Human-Robot Interactions, and Perception of Animacy. University of California, Los Angeles, USA, 2019 - [c10]Tianmin Shu, Yujia Peng, Hongjing Lu, Song-Chun Zhu:
Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space. CogSci 2019: 1048-1054 - [c9]Tianmin Shu, Yuandong Tian:
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning. ICLR (Poster) 2019 - [i9]Xiaofeng Gao
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning. CoRR abs/1903.05757 (2019) - 2018
- [j2]Dan Xie
Learning and Inferring "Dark Matter" and Predicting Human Intents and Trajectories in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1639-1652 (2018) - [j1]Tianmin Shu, Yujia Peng
Perception of Human Interaction Based on Motion Trajectories: From Aerial Videos to Decontextualized Animations. Top. Cogn. Sci. 10(1): 225-241 (2018) - [c8]Ping Wei, Yang Liu, Tianmin Shu, Nanning Zheng, Song-Chun Zhu:
Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks. CVPR 2018: 6801-6809 - [c7]Tianmin Shu, Caiming Xiong, Richard Socher:
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. ICLR (Poster) 2018 - [i8]Tianmin Shu, Yuandong Tian:
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning. CoRR abs/1810.00147 (2018) - [i7]Tianmin Shu, Caiming Xiong, Ying Nian Wu, Song-Chun Zhu:
Interactive Agent Modeling by Learning to Probe. CoRR abs/1810.00510 (2018) - 2017
- [c6]Tianmin Shu, Yujia Peng, Lifeng Fan, Hongjing Lu, Song-Chun Zhu:
Inferring Human Interaction from Motion Trajectories in Aerial Videos. CogSci 2017 - [c5]Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu:
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition. CVPR 2017: 4255-4263 - [c4]Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, Song-Chun Zhu:
Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions. ICRA 2017: 1669-1676 - [i6]Tianmin Shu, Xiaofeng Gao
Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions. CoRR abs/1703.00503 (2017) - [i5]Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu:
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition. CoRR abs/1704.03058 (2017) - [i4]Tianmin Shu, Caiming Xiong, Richard Socher:
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. CoRR abs/1712.07294 (2017) - 2016
- [c3]Tianmin Shu, Steven M. Thurman, Dawn Chen, Song-Chun Zhu, Hongjing Lu:
Critical Features of Joint Actions that Signal Human Interaction. CogSci 2016 - [c2]Tianmin Shu, Michael S. Ryoo, Song-Chun Zhu:
Learning Social Affordance for Human-Robot Interaction. IJCAI 2016: 3454-3461 - [i3]Tianmin Shu, Michael S. Ryoo, Song-Chun Zhu:
Learning Social Affordance for Human-Robot Interaction. CoRR abs/1604.03692 (2016) - [i2]Dan Xie, Tianmin Shu, Sinisa Todorovic, Song-Chun Zhu:
Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction. CoRR abs/1606.07827 (2016) - 2015
- [c1]Tianmin Shu, Dan Xie, Brandon Rothrock, Sinisa Todorovic, Song-Chun Zhu:
Joint inference of groups, events and human roles in aerial videos. CVPR 2015: 4576-4584 - [i1]Tianmin Shu, Dan Xie, Brandon Rothrock, Sinisa Todorovic, Song-Chun Zhu:
Joint Inference of Groups, Events and Human Roles in Aerial Videos. CoRR abs/1505.05957 (2015)
Coauthor Index
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last updated on 2024-12-12 20:59 CET by the dblp team
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