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ORCIDJiafei Duan
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2020 – today
- 2024
[c9]Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna:
Selective Visual Representations Improve Convergence and Generalization for Embodied AI. ICLR 2024- [c8]Jun Wang
, Chun-Cheng Chang, Jiafei Duan, Dieter Fox, Ranjay Krishna:
EVE: Enabling Anyone to Train Robots using Augmented Reality. UIST 2024: 34:1-34:13 - [i22]Wilbert Pumacay, Ishika Singh, Jiafei Duan, Ranjay Krishna, Jesse Thomason, Dieter Fox:
THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation. CoRR abs/2402.08191 (2024) - [i21]Jun Wang, Chun-Cheng Chang, Jiafei Duan, Dieter Fox, Ranjay Krishna:
EVE: Enabling Anyone to Train Robot using Augmented Reality. CoRR abs/2404.06089 (2024) - [i20]Samson Yu, Kelvin Lin, Anxing Xiao, Jiafei Duan, Harold Soh:
Octopi: Object Property Reasoning with Large Tactile-Language Models. CoRR abs/2405.02794 (2024) - [i19]Wentao Yuan, Jiafei Duan, Valts Blukis, Wilbert Pumacay, Ranjay Krishna, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox:
RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics. CoRR abs/2406.10721 (2024) - [i18]Jiafei Duan, Wentao Yuan, Wilbert Pumacay, Yi Ru Wang, Kiana Ehsani, Dieter Fox, Ranjay Krishna:
Manipulate-Anything: Automating Real-World Robots using Vision-Language Models. CoRR abs/2406.18915 (2024) - [i17]Jiafei Duan, Wilbert Pumacay, Nishanth Kumar, Yi Ru Wang, Shulin Tian, Wentao Yuan, Ranjay Krishna, Dieter Fox, Ajay Mandlekar, Yijie Guo:
AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation. CoRR abs/2410.00371 (2024) - 2023
- [c7]Arijit Dasgupta, Jiafei Duan, Yi Lin, Su-Hua Wang, Renée Baillargeon, Cheston Tan:
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories. CogSci 2023 - [c6]Jiafei Duan, Yi Ru Wang, Mohit Shridhar, Dieter Fox, Ranjay Krishna:
AR2-D2: Training a Robot Without a Robot. CoRL 2023: 2838-2848 - [c5]Yi Ru Wang, Jiafei Duan, Dieter Fox, Siddhartha S. Srinivasa:
NEWTON: Are Large Language Models Capable of Physical Reasoning? EMNLP (Findings) 2023: 9743-9758 - [i16]Yi Ru Wang, Jiafei Duan, Sidharth Talia, Hao Zhu:
A Study of Comfortability between Interactive AI and Human. CoRR abs/2302.14360 (2023) - [i15]Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan:
Robustness of Utilizing Feedback in Embodied Visual Navigation. CoRR abs/2303.15453 (2023) - [i14]Jiafei Duan, Samson Yu, Nicholas Tan, Yi Ru Wang, Cheston Tan:
Read My Mind: A Multi-Modal Dataset for Human Belief Prediction. CoRR abs/2304.14501 (2023) - [i13]Jiafei Duan, Yi Ru Wang, Mohit Shridhar, Dieter Fox, Ranjay Krishna:
AR2-D2: Training a Robot Without a Robot. CoRR abs/2306.13818 (2023) - [i12]Yi Ru Wang, Jiafei Duan, Dieter Fox, Siddhartha S. Srinivasa:
NEWTON: Are Large Language Models Capable of Physical Reasoning? CoRR abs/2310.07018 (2023) - [i11]Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna:
Selective Visual Representations Improve Convergence and Generalization for Embodied AI. CoRR abs/2311.04193 (2023) - 2022
- [j1]Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan:
A Survey of Embodied AI: From Simulators to Research Tasks. IEEE Trans. Emerg. Top. Comput. Intell. 6(2): 230-244 (2022) - [c4]Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan:
PIP: Physical Interaction Prediction via Mental Simulation with Span Selection. ECCV (35) 2022: 405-421 - [c3]Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan:
A Survey on Machine Learning Approaches for Modelling Intuitive Physics. IJCAI 2022: 5444-5452 - [i10]Jiafei Duan, Arijit Dasgupta, Jason Fischer, Cheston Tan:
A Survey on Machine Learning Approaches for Modelling Intuitive Physics. CoRR abs/2202.06481 (2022) - [i9]Jieyi Ye, Jiafei Duan, Samson Yu, Bihan Wen, Cheston Tan:
ABCDE: An Agent-Based Cognitive Development Environment. CoRR abs/2206.04909 (2022) - [i8]Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan:
Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation. CoRR abs/2206.10606 (2022) - [i7]Jiafei Duan, Samson Yu, Nicholas Tan, Li Yi, Cheston Tan:
BOSS: A Benchmark for Human Belief Prediction in Object-context Scenarios. CoRR abs/2206.10665 (2022) - 2021
- [c2]Jiafei Duan, Samson Yu Bai Jian, Cheston Tan:
SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments. ICCVW 2021: 2058-2063 - [i6]Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan:
A Survey of Embodied AI: From Simulators to Research Tasks. CoRR abs/2103.04918 (2021) - [i5]Jiafei Duan, Samson Yu Bai Jian, Cheston Tan:
SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments. CoRR abs/2108.06180 (2021) - [i4]Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan:
PIP: Physical Interaction Prediction via Mental Imagery with Span Selection. CoRR abs/2109.04683 (2021) - [i3]Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr., Cheston Tan:
AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition. CoRR abs/2110.05836 (2021) - [i2]Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr., Yi Lin, Su-Hua Wang, Renée Baillargeon, Cheston Tan:
A Benchmark for Modeling Violation-of-Expectation in Physical Reasoning Across Event Categories. CoRR abs/2111.08826 (2021) - 2020
- [c1]Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan:
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment. ICIP 2020: 1566-1570 - [i1]Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan:
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment. CoRR abs/2010.01357 (2020)
Coauthor Index
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