ML Anthology

Xu, Danfei

36 publications

NeurIPS 2025 EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data Ryan Punamiya, Dhruv Patel, Patcharapong Aphiwetsa, Pranav Kuppili, Lawrence Y. Zhu, Simar Kareer, Judy Hoffman, Danfei Xu
NeurIPS 2025 Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training Shuo Cheng, Liqian Ma, Zhenyang Chen, Ajay Mandlekar, Caelan Reed Garrett, Danfei Xu
NeurIPS 2025 Generative Trajectory Stitching Through Diffusion Composition Yunhao Luo, Utkarsh Aashu Mishra, Yilun Du, Danfei Xu
CoRL 2025 ImMimic: Cross-Domain Imitation from Human Videos via Mapping and Interpolation Yangcen Liu, Woo Chul Shin, Yunhai Han, Zhenyang Chen, Harish Ravichandar, Danfei Xu
CoRL 2025 Joint Model-Based Model-Free Diffusion for Planning with Constraints Wonsuhk Jung, Utkarsh Aashu Mishra, Nadun Ranawaka Arachchige, Yongxin Chen, Danfei Xu, Shreyas Kousik
ICLR 2025 LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models Ziqi Lu, Heng Yang, Danfei Xu, Boyi Li, Boris Ivanovic, Marco Pavone, Yue Wang
CoRL 2025 SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies Nadun Ranawaka Arachchige, Zhenyang Chen, Wonsuhk Jung, Woo Chul Shin, Rohan Bansal, Pierre Barroso, Yu Hang He, Yingyan Celine Lin, Benjamin Joffe, Shreyas Kousik, Danfei Xu
ICLR 2025 STORM: Spatio-TempOral Reconstruction Model for Large-Scale Outdoor Scenes Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Peter Karkus, Danfei Xu, Yue Wang, Marco Pavone
ICLR 2025 What Matters in Learning from Large-Scale Datasets for Robot Manipulation Vaibhav Saxena, Matthew Bronars, Nadun Ranawaka Arachchige, Kuancheng Wang, Woo Chul Shin, Soroush Nasiriany, Ajay Mandlekar, Danfei Xu
TMLR 2024 C3DM: Constrained-Context Conditional Diffusion Models for Imitation Learning Vaibhav Saxena, Yotto Koga, Danfei Xu
ICLR 2024 EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang
CoRL 2024 Generative Factor Chaining: Coordinated Manipulation with Diffusion-Based Factor Graph Utkarsh Aashu Mishra, Yongxin Chen, Danfei Xu
NeurIPS 2024 Large Spatial Model: End-to-End Unposed Images to Semantic 3D Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang
ICLRW 2024 League++: Empowering Continual Robot Learning Through Guided Skill Acquisition with Large Language Models Zhaoyi Li, Kelin Yu, Shuo Cheng, Danfei Xu
CoRL 2024 MimicTouch: Leveraging Multi-Modal Human Tactile Demonstrations for Contact-Rich Manipulation Kelin Yu, Yunhai Han, Qixian Wang, Vaibhav Saxena, Danfei Xu, Ye Zhao
CoRL 2024 NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors Shuo Cheng, Caelan Reed Garrett, Ajay Mandlekar, Danfei Xu
CVPR 2024 Neural Visibility Field for Uncertainty-Driven Active Mapping Shangjie Xue, Jesse Dill, Pranay Mathur, Frank Dellaert, Panagiotis Tsiotra, Danfei Xu
CoRL 2023 Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models Utkarsh Aashu Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu
CoRL 2023 Human-in-the-Loop Task and Motion Planning for Imitation Learning Ajay Mandlekar, Caelan Reed Garrett, Danfei Xu, Dieter Fox
CoRL 2023 Language-Guided Traffic Simulation via Scene-Level Diffusion Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray
CoRL 2023 Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu
ICMLW 2023 Legible Robot Motion from Conditional Generative Models Matthew Bronars, Danfei Xu
CoRL 2023 MimicPlay: Long-Horizon Imitation Learning by Watching Human Play Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar
CoRL 2023 Neural Field Dynamics Model for Granular Object Piles Manipulation Shangjie Xue, Shuo Cheng, Pujith Kachana, Danfei Xu
ECCV 2022 AdvDO: Realistic Adversarial Attacks for Trajectory Prediction Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone
NeurIPSW 2022 Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta, Peter Karkus, Tong Che, Danfei Xu, Marco Pavone
NeurIPSW 2022 Guided Skill Learning and Abstraction for Long-Horizon Manipulation Shuo Cheng, Danfei Xu
NeurIPSW 2022 ProgPrompt: Generating Situated Robot Task Plans Using Large Language Models Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg
CoRL 2022 Robust Trajectory Prediction Against Adversarial Attacks Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone
CoRL 2021 Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration Chen Wang, Claudia Pérez-D’Arpino, Danfei Xu, Li Fei-Fei, Karen Liu, Silvio Savarese
CoRL 2021 What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín
CoRL 2020 Positive-Unlabeled Reward Learning Danfei Xu, Misha Denil
ECCV 2020 Procedure Planning in Instructional Videos Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles
NeurIPS 2019 Regression Planning Networks Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li F Fei-Fei
CVPR 2017 Scene Graph Generation by Iterative Message Passing Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei
ECCV 2016 3D-R2N2: A Unified Approach for Single and Multi-View 3D Object Reconstruction Christopher B. Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, Silvio Savarese