Danfei Xu

According to our database, Danfei Xu authored at least 51 papers between 2013 and 2024.

Collaborative distances:

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

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

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

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

CoRR, 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