Danfei Xu

According to our database, Danfei Xu authored at least 62 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Legibility Diffuser: Offline Imitation for Intent Expressive Motion.

Matthew Bronars, Shuo Cheng, Danfei Xu

IEEE Robotics Autom. Lett., November, 2024

EgoMimic: Scaling Imitation Learning via Egocentric Video.

Simar Kareer, Dhruv Patel, Ryan Punamiya, Pranay Mathur, Shuo Cheng, Chen Wang, Judy Hoffman, Danfei Xu

CoRR, 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

CoRR, 2024

Opt2Skill: Imitating Dynamically-feasible Whole-Body Trajectories for Versatile Humanoid Loco-Manipulation.

Fukang Liu, Zhaoyuan Gu, Yilin Cai, Ziyi Zhou, Shijie Zhao, Hyunyoung Jung, Sehoon Ha, Yue Chen, Danfei Xu, Ye Zhao

CoRR, 2024

RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution.

Wonsuhk Jung, Dennis Anthony, Utkarsh A. Mishra, Nadun Ranawaka Arachchige, Matthew Bronars, Danfei Xu, Shreyas Kousik

CoRR, 2024

Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph.

Utkarsh A. Mishra, Yongxin Chen, Danfei Xu

CoRR, 2024

Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations.

Julen Urain, Ajay Mandlekar, Yilun Du, Mahi Shafiullah, Danfei Xu, Katerina Fragkiadaki, Georgia Chalvatzaki, Jan Peters

CoRR, 2024

A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches.

Zhigen Zhao, Shuo Cheng, Yan Ding, Ziyi Zhou, Shiqi Zhang, Danfei Xu, Ye Zhao

CoRR, 2024

InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds.

Zhiwen Fan, Wenyan Cong, Kairun Wen, Kevin Wang, Jian Zhang, Xinghao Ding, Danfei Xu, Boris Ivanovic, Marco Pavone, Georgios Pavlakos, Zhangyang Wang, Yue Wang

CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Visibility Field for Uncertainty-Driven Active Mapping.

Shangjie Xue, Jesse Dill, Pranay Mathur, Frank Dellaert, Panagiotis Tsiotras, Danfei Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Partial-View Object View Synthesis via Filtering Inversion.

Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber

Proceedings of the International Conference on 3D Vision, 2024

2023

ProgPrompt: program generation for situated robot task planning using large language models.

Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg

Auton. Robots, December, 2023

LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation.

Shuo Cheng, Danfei Xu

IEEE Robotics Autom. Lett., October, 2023

NOD-TAMP: Multi-Step Manipulation Planning with Neural Object Descriptors.

Shuo Cheng, Caelan Reed Garrett, Ajay Mandlekar, Danfei Xu

CoRR, 2023

Constrained-Context Conditional Diffusion Models for Imitation Learning.

Vaibhav Saxena, Yotto Koga, Danfei Xu

CoRR, 2023

Evolutionary Curriculum Training for DRL-Based Navigation Systems.

Max Asselmeier, Zhaoyi Li, Kelin Yu, Danfei Xu

CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.

Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber

CoRR, 2023

Zero-Shot Object Searching Using Large-scale Object Relationship Prior.

Hongyi Chen, Ruinian Xu, Shuo Cheng, Patricio A. Vela, Danfei Xu

CoRR, 2023

Guided Conditional Diffusion for Controllable Traffic Simulation.

Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

BITS: Bi-level Imitation for Traffic Simulation.

Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the Conference on Robot Learning, 2023

Neural Field Dynamics Model for Granular Object Piles Manipulation.

Shangjie Xue, Shuo Cheng, Pujith Kachana, Danfei Xu

Proceedings of the Conference on Robot Learning, 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

Proceedings of the Conference on Robot Learning, 2023

Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models.

Utkarsh Aashu Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu

Proceedings of the Conference on Robot Learning, 2023

Human-in-the-Loop Task and Motion Planning for Imitation Learning.

Ajay Mandlekar, Caelan Reed Garrett, Danfei Xu, Dieter Fox

Proceedings of the Conference on Robot Learning, 2023

Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning.

Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu

Proceedings of the Conference on Robot Learning, 2023

2022

Generalizable Task Planning Through Representation Pretraining.

Chen Wang, Danfei Xu, Li Fei-Fei

IEEE Robotics Autom. Lett., 2022

Foundation Models for Semantic Novelty in Reinforcement Learning.

Tarun Gupta, Péter Karkus, Tong Che, Danfei Xu, Marco Pavone

CoRR, 2022

Guided Skill Learning and Abstraction for Long-Horizon Manipulation.

Shuo Cheng, Danfei Xu

CoRR, 2022

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction.

Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone

Proceedings of the Computer Vision - ECCV 2022, 2022

Robust Trajectory Prediction against Adversarial Attacks.

Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone

Proceedings of the Conference on Robot Learning, 2022

2021

Compositional reasoning in robot learning.

Danfei Xu

PhD thesis, 2021

Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control.

Chen Wang, Rui Wang, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Danfei Xu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep Affordance Foresight: Planning Through What Can Be Done in the Future.

Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration.

Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 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

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Human-in-the-Loop Imitation Learning using Remote Teleoperation.

Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese

CoRR, 2020

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations.

Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei

CoRR, 2020

GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations.

Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei

Proceedings of the Robotics: Science and Systems XVI, 2020

6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints.

Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Procedure Planning in Instructional Videos.

Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the Computer Vision - ECCV 2020, 2020

Positive-Unlabeled Reward Learning.

Danfei Xu, Misha Denil

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Regression Planning Networks.

Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning.

De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Situational Fusion of Visual Representation for Visual Navigation.

William B. Shen, Danfei Xu, Yuke Zhu, Li Fei-Fei, Leonidas J. Guibas, Silvio Savarese

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion.

Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martin Martin, Cewu Lu, Li Fei-Fei, Silvio Savarese

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration.

De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Model-Driven Feedforward Prediction for Manipulation of Deformable Objects.

Yinxiao Li, Yan Wang, Yonghao Yue, Danfei Xu, Michael Case, Shih-Fu Chang, Eitan Grinspun, Peter K. Allen

IEEE Trans Autom. Sci. Eng., 2018

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks.

Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation.

Danfei Xu, Dragomir Anguelov, Ashesh Jain

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Shape-aware spatio-temporal descriptors for interaction classification.

Sören Pirk, Olga Diamanti, Boris Thibert, Danfei Xu, Leonidas J. Guibas

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Scene Graph Generation by Iterative Message Passing.

Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects.

Yinxiao Li, Yan Wang, Yonghao Yue, Danfei Xu, Michael Case, Shih-Fu Chang, Eitan Grinspun, Peter K. Allen

CoRR, 2016

Multi-sensor surface analysis for robotic ironing.

Yinxiao Li, Xiuhan Hu, Danfei Xu, Yonghao Yue, Eitan Grinspun, Peter K. Allen

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 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

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Folding deformable objects using predictive simulation and trajectory optimization.

Yinxiao Li, Yonghao Yue, Danfei Xu, Eitan Grinspun, Peter K. Allen

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Regrasping and unfolding of garments using predictive thin shell modeling.

Yinxiao Li, Danfei Xu, Yonghao Yue, Yan Wang, Shih-Fu Chang, Eitan Grinspun, Peter K. Allen

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Topometric localization on a road network.

Danfei Xu, Hernán Badino, Daniel F. Huber

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013

Tactile identification of objects using Bayesian exploration.

Danfei Xu, Gerald E. Loeb, Jeremy A. Fishel

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013