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Danfei Xu
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Books and Theses
- 2021
- [b1]Danfei Xu:
Compositional reasoning in robot learning. Stanford University, USA, 2021
Journal Articles
- 2023
- [j4]Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg:
ProgPrompt: program generation for situated robot task planning using large language models. Auton. Robots 47(8): 999-1012 (2023) - [j3]Shuo Cheng
, Danfei Xu
:
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation. IEEE Robotics Autom. Lett. 8(10): 6451-6458 (2023) - 2022
- [j2]Chen Wang
, Danfei Xu, Li Fei-Fei:
Generalizable Task Planning Through Representation Pretraining. IEEE Robotics Autom. Lett. 7(3): 8299-8306 (2022) - 2018
- [j1]Yinxiao Li, Yan Wang, Yonghao Yue
, Danfei Xu, Michael Case, Shih-Fu Chang, Eitan Grinspun, Peter K. Allen:
Model-Driven Feedforward Prediction for Manipulation of Deformable Objects. IEEE Trans Autom. Sci. Eng. 15(4): 1621-1638 (2018)
Conference and Workshop Papers
- 2024
- [c36]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:
Partial-View Object View Synthesis via Filtering Inversion. 3DV 2024: 453-463 - [c35]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. ICLR 2024 - 2023
- [c34]Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray:
Language-Guided Traffic Simulation via Scene-Level Diffusion. CoRL 2023: 144-177 - [c33]Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar:
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. CoRL 2023: 201-221 - [c32]Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu:
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning. CoRL 2023: 1437-1449 - [c31]Shangjie Xue, Shuo Cheng, Pujith Kachana, Danfei Xu:
Neural Field Dynamics Model for Granular Object Piles Manipulation. CoRL 2023: 2821-2837 - [c30]Utkarsh Aashu Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu:
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models. CoRL 2023: 2905-2925 - [c29]Ajay Mandlekar, Caelan Reed Garrett, Danfei Xu, Dieter Fox:
Human-in-the-Loop Task and Motion Planning for Imitation Learning. CoRL 2023: 3030-3060 - [c28]Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone
:
BITS: Bi-level Imitation for Traffic Simulation. ICRA 2023: 2929-2936 - [c27]Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone
:
Guided Conditional Diffusion for Controllable Traffic Simulation. ICRA 2023: 3560-3566 - [c26]Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg:
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. ICRA 2023: 11523-11530 - 2022
- [c25]Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone:
Robust Trajectory Prediction against Adversarial Attacks. CoRL 2022: 128-137 - [c24]Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone
:
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. ECCV (5) 2022: 36-52 - 2021
- [c23]Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese:
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration. CoRL 2021: 1279-1290 - [c22]Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. CoRL 2021: 1678-1690 - [c21]Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Deep Affordance Foresight: Planning Through What Can Be Done in the Future. ICRA 2021: 6206-6213 - [c20]Chen Wang, Rui Wang, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Danfei Xu:
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. IROS 2021: 8913-8920 - 2020
- [c19]Danfei Xu, Misha Denil:
Positive-Unlabeled Reward Learning. CoRL 2020: 205-219 - [c18]Chien-Yi Chang
, De-An Huang
, Danfei Xu
, Ehsan Adeli
, Li Fei-Fei
, Juan Carlos Niebles
:
Procedure Planning in Instructional Videos. ECCV (11) 2020: 334-350 - [c17]Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu:
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. ICRA 2020: 10059-10066 - [c16]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei:
GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations. Robotics: Science and Systems 2020 - 2019
- [c15]Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martin Martin, Cewu Lu, Li Fei-Fei, Silvio Savarese:
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. CVPR 2019: 3343-3352 - [c14]De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles:
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration. CVPR 2019: 8565-8574 - [c13]William B. Shen, Danfei Xu, Yuke Zhu, Li Fei-Fei, Leonidas J. Guibas, Silvio Savarese:
Situational Fusion of Visual Representation for Visual Navigation. ICCV 2019: 2881-2890 - [c12]De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles:
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. IROS 2019: 2635-2642 - [c11]Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Regression Planning Networks. NeurIPS 2019: 1317-1327 - 2018
- [c10]Danfei Xu, Dragomir Anguelov, Ashesh Jain:
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation. CVPR 2018: 244-253 - [c9]Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese:
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks. ICRA 2018: 1-8 - 2017
- [c8]Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei:
Scene Graph Generation by Iterative Message Passing. CVPR 2017: 3097-3106 - [c7]Sören Pirk, Olga Diamanti, Boris Thibert, Danfei Xu, Leonidas J. Guibas:
Shape-aware spatio-temporal descriptors for interaction classification. ICIP 2017: 4527-4531 - 2016
- [c6]Christopher B. Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, Silvio Savarese:
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction. ECCV (8) 2016: 628-644 - [c5]Yinxiao Li, Xiuhan Hu, Danfei Xu, Yonghao Yue
, Eitan Grinspun, Peter K. Allen:
Multi-sensor surface analysis for robotic ironing. ICRA 2016: 5670-5676 - 2015
- [c4]Yinxiao Li, Danfei Xu, Yonghao Yue
, Yan Wang, Shih-Fu Chang, Eitan Grinspun, Peter K. Allen:
Regrasping and unfolding of garments using predictive thin shell modeling. ICRA 2015: 1382-1388 - [c3]Yinxiao Li, Yonghao Yue
, Danfei Xu, Eitan Grinspun, Peter K. Allen:
Folding deformable objects using predictive simulation and trajectory optimization. IROS 2015: 6000-6006 - 2014
- [c2]Danfei Xu, Hernán Badino, Daniel F. Huber:
Topometric localization on a road network. IROS 2014: 3448-3455 - 2013
- [c1]Danfei Xu, Gerald E. Loeb
, Jeremy A. Fishel:
Tactile identification of objects using Bayesian exploration. ICRA 2013: 3056-3061
Informal and Other Publications
- 2024
- [i44]Utkarsh A. Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu:
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models. CoRR abs/2401.03360 (2024) - [i43]Zhiwen Fan, Wenyan Cong, Kairun Wen, Kevin Wang, Jian Zhang, Xinghao Ding, Danfei Xu, Boris Ivanovic, Marco Pavone, Georgios Pavlakos, Zhangyang Wang, Yue Wang:
InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds. CoRR abs/2403.20309 (2024) - [i42]Zhigen Zhao, Shuo Cheng, Yan Ding, Ziyi Zhou, Shiqi Zhang, Danfei Xu, Ye Zhao:
A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches. CoRR abs/2404.02817 (2024) - [i41]Shangjie Xue, Jesse Dill, Pranay Mathur, Frank Dellaert, Panagiotis Tsiotras, Danfei Xu:
Neural Visibility Field for Uncertainty-Driven Active Mapping. CoRR abs/2406.06948 (2024) - 2023
- [i40]Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar:
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play. CoRR abs/2302.12422 (2023) - [i39]Hongyi Chen, Ruinian Xu, Shuo Cheng, Patricio A. Vela, Danfei Xu:
Zero-Shot Object Searching Using Large-scale Object Relationship Prior. CoRR abs/2303.06228 (2023) - [i38]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:
Partial-View Object View Synthesis via Filtered Inversion. CoRR abs/2304.00673 (2023) - [i37]Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray:
Language-Guided Traffic Simulation via Scene-Level Diffusion. CoRR abs/2306.06344 (2023) - [i36]Max Asselmeier, Zhaoyi Li, Kelin Yu, Danfei Xu:
Evolutionary Curriculum Training for DRL-Based Navigation Systems. CoRR abs/2306.08870 (2023) - [i35]Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu:
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning. CoRR abs/2310.14196 (2023) - [i34]Ajay Mandlekar, Caelan Reed Garrett, Danfei Xu, Dieter Fox:
Human-in-the-Loop Task and Motion Planning for Imitation Learning. CoRR abs/2310.16014 (2023) - [i33]Shangjie Xue, Shuo Cheng, Pujith Kachana, Danfei Xu:
Neural Field Dynamics Model for Granular Object Piles Manipulation. CoRR abs/2311.00802 (2023) - [i32]Vaibhav Saxena, Yotto Koga, Danfei Xu:
Constrained-Context Conditional Diffusion Models for Imitation Learning. CoRR abs/2311.01419 (2023) - [i31]Shuo Cheng, Caelan Reed Garrett, Ajay Mandlekar, Danfei Xu:
NOD-TAMP: Multi-Step Manipulation Planning with Neural Object Descriptors. CoRR abs/2311.01530 (2023) - [i30]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. CoRR abs/2311.02077 (2023) - 2022
- [i29]Chen Wang, Danfei Xu, Li Fei-Fei:
Generalizable Task Planning through Representation Pretraining. CoRR abs/2205.07993 (2022) - [i28]Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone:
Robust Trajectory Prediction against Adversarial Attacks. CoRR abs/2208.00094 (2022) - [i27]Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone:
BITS: Bi-level Imitation for Traffic Simulation. CoRR abs/2208.12403 (2022) - [i26]Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone:
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. CoRR abs/2209.08744 (2022) - [i25]Ishika Singh, Valts Blukis, Arsalan Mousavian, Ankit Goyal, Danfei Xu, Jonathan Tremblay, Dieter Fox, Jesse Thomason, Animesh Garg:
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models. CoRR abs/2209.11302 (2022) - [i24]Shuo Cheng, Danfei Xu:
Guided Skill Learning and Abstraction for Long-Horizon Manipulation. CoRR abs/2210.12631 (2022) - [i23]Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone:
Guided Conditional Diffusion for Controllable Traffic Simulation. CoRR abs/2210.17366 (2022) - [i22]Tarun Gupta, Péter Karkus, Tong Che, Danfei Xu, Marco Pavone:
Foundation Models for Semantic Novelty in Reinforcement Learning. CoRR abs/2211.04878 (2022) - 2021
- [i21]Chen Wang, Rui Wang, Danfei Xu, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese:
Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control. CoRR abs/2103.00375 (2021) - [i20]Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín:
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation. CoRR abs/2108.03298 (2021) - [i19]Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese:
Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration. CoRR abs/2108.06038 (2021) - 2020
- [i18]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Silvio Savarese, Li Fei-Fei:
Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations. CoRR abs/2003.06085 (2020) - [i17]Danfei Xu, Ajay Mandlekar, Roberto Martín-Martín, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Deep Affordance Foresight: Planning Through What Can Be Done in the Future. CoRR abs/2011.08424 (2020) - [i16]Ajay Mandlekar, Danfei Xu, Roberto Martín-Martín, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
Human-in-the-Loop Imitation Learning using Remote Teleoperation. CoRR abs/2012.06733 (2020) - 2019
- [i15]Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese:
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. CoRR abs/1901.04780 (2019) - [i14]Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles:
Procedure Planning in Instructional Videos. CoRR abs/1907.01172 (2019) - [i13]De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles:
Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning. CoRR abs/1908.06769 (2019) - [i12]William B. Shen, Danfei Xu, Yuke Zhu, Leonidas J. Guibas, Li Fei-Fei, Silvio Savarese:
Situational Fusion of Visual Representation for Visual Navigation. CoRR abs/1908.09073 (2019) - [i11]Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Regression Planning Networks. CoRR abs/1909.13072 (2019) - [i10]Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu:
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. CoRR abs/1910.10750 (2019) - [i9]Danfei Xu, Misha Denil:
Positive-Unlabeled Reward Learning. CoRR abs/1911.00459 (2019) - 2018
- [i8]De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles:
Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration. CoRR abs/1807.03480 (2018) - 2017
- [i7]Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei:
Scene Graph Generation by Iterative Message Passing. CoRR abs/1701.02426 (2017) - [i6]Danfei Xu, Suraj Nair, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese:
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks. CoRR abs/1710.01813 (2017) - [i5]Danfei Xu, Dragomir Anguelov, Ashesh Jain:
PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation. CoRR abs/1711.10871 (2017) - 2016
- [i4]Yinxiao Li, Xiuhan Hu, Danfei Xu, Yonghao Yue, Eitan Grinspun, Peter K. Allen:
Multi-Sensor Surface Analysis for Robotic Ironing. CoRR abs/1602.04918 (2016) - [i3]Christopher B. Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, Silvio Savarese:
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction. CoRR abs/1604.00449 (2016) - [i2]Yinxiao Li, Yan Wang, Yonghao Yue, Danfei Xu, Michael Case, Shih-Fu Chang, Eitan Grinspun, Peter K. Allen:
Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects. CoRR abs/1607.04411 (2016) - 2015
- [i1]Yinxiao Li, Yonghao Yue, Danfei Xu, Eitan Grinspun, Peter K. Allen:
Folding Deformable Objects using Predictive Simulation and Trajectory Optimization. CoRR abs/1512.06922 (2015)
Coauthor Index
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