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2020 – today
- 2024
[j5]Matthew Bronars, Shuo Cheng, Danfei Xu:
Legibility Diffuser: Offline Imitation for Intent Expressive Motion. IEEE Robotics Autom. Lett. 9(11): 10161-10168 (2024)- [c38]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 - [c37]Shangjie Xue, Jesse Dill, Pranay Mathur, Frank Dellaert, Panagiotis Tsiotras, Danfei Xu:
Neural Visibility Field for Uncertainty-Driven Active Mapping. CVPR 2024: 18122-18132 - [c36]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 - [c35]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:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [i48]Utkarsh A. Mishra, Shangjie Xue, Yongxin Chen, Danfei Xu:
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models. CoRR abs/2401.03360 (2024) - [i47]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) - [i46]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) - [i45]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) - [i44]Julen Urain, Ajay Mandlekar, Yilun Du, Mahi Shafiullah, Danfei Xu, Katerina Fragkiadaki, Georgia Chalvatzaki, Jan Peters:
Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations. CoRR abs/2408.04380 (2024) - [i43]Utkarsh A. Mishra, Yongxin Chen, Danfei Xu:
Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph. CoRR abs/2409.16275 (2024) - [i42]Wonsuhk Jung, Dennis Anthony, Utkarsh A. Mishra, Nadun Ranawaka Arachchige, Matthew Bronars, Danfei Xu, Shreyas Kousik:
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution. CoRR abs/2409.19190 (2024) - [i41]Fukang Liu, Zhaoyuan Gu, Yilin Cai, Ziyi Zhou, Shijie Zhao, Hyunyoung Jung, Sehoon Ha, Yue Chen, Danfei Xu, Ye Zhao:
Opt2Skill: Imitating Dynamically-feasible Whole-Body Trajectories for Versatile Humanoid Loco-Manipulation. CoRR abs/2409.20514 (2024) - 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) - [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 - [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
- [j2]Chen Wang, Danfei Xu, Li Fei-Fei:
Generalizable Task Planning Through Representation Pretraining. IEEE Robotics Autom. Lett. 7(3): 8299-8306 (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 - [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
- [b1]Danfei Xu:
Compositional reasoning in robot learning. Stanford University, USA, 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 - [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
- [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 - [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)
2010 – 2019
- 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 - [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
- [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) - [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 - [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
- [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 - [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
- [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 - [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
- [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 - [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) - 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
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-11-14 00:52 CET by the dblp team
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