Danfei Xu

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Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Yuke ZhuAssistant Professor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Roberto Martín-MartínAssistant Professor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Chen WangStanford UniversityVerified email at stanford.edu
Chris ChoyNVIDIAVerified email at nvidia.com
Animesh GargAssistant Professor, University of Toronto, Vector Institute, NvidiaVerified email at cs.toronto.edu
Dragomir AnguelovDistinguished Researcher, WaymoVerified email at cs.stanford.edu
Ashesh JainDirector of Engineering, Lyft Level-5 Self-Driving ProgramVerified email at cs.cornell.edu
Yinxiao LiGoogle ResearchVerified email at google.com
De-An HuangStanford UniversityVerified email at cs.stanford.edu
Juan Carlos NieblesResearch Director (Salesforce) & Adjunct Professor (Stanford University)Verified email at cs.stanford.edu
Suraj NairStanford UniversityVerified email at cs.stanford.edu
Julian GaoElectrical Engineering B.S., Rice University; M.S. Student of Computer Science, Stanford UniversityVerified email at stanford.edu
Jeremy FishelTangible Research, CSU ChicoVerified email at tangible-research.com
Gerald E. LoebProfessor of Biomedical Engineering, University of Southern CaliforniaVerified email at usc.edu
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Chien-Yi ChangPhD Candidate, Stanford UniversityVerified email at stanford.edu
Hernan BadinoReality Labs Research, MetaVerified email at fb.com
Daniel HuberSenior Systems Scientist, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Danfei Xu

Research Scientist at NVIDIA

Verified email at cs.stanford.edu - Homepage

Robot Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
3d-r2n2: A unified approach for single and multi-view 3d object reconstruction CB Choy, D Xu, JY Gwak, K Chen, S Savarese European conference on computer vision, 628-644, 2016	1216	2016
Scene graph generation by iterative message passing D Xu, Y Zhu, CB Choy, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2017	756	2017
Densefusion: 6d object pose estimation by iterative dense fusion C Wang, D Xu, Y Zhu, R Martín-Martín, C Lu, L Fei-Fei, S Savarese Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	479	2019
Pointfusion: Deep sensor fusion for 3d bounding box estimation D Xu, D Anguelov, A Jain Proceedings of the IEEE conference on computer vision and pattern …, 2018	400	2018
Tactile identification of objects using Bayesian exploration D Xu, GE Loeb, JA Fishel 2013 IEEE International Conference on Robotics and Automation, 3056-3061, 2013	161	2013
Neural task programming: Learning to generalize across hierarchical tasks D Xu, S Nair, Y Zhu, J Gao, A Garg, L Fei-Fei, S Savarese 2018 IEEE International Conference on Robotics and Automation (ICRA), 3795-3802, 2018	142	2018
Folding deformable objects using predictive simulation and trajectory optimization Y Li, Y Yue, D Xu, E Grinspun, PK Allen 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015	98	2015
Neural task graphs: Generalizing to unseen tasks from a single video demonstration DA Huang, S Nair, D Xu, Y Zhu, A Garg, L Fei-Fei, S Savarese, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	91	2019
Regrasping and unfolding of garments using predictive thin shell modeling Y Li, D Xu, Y Yue, Y Wang, SF Chang, E Grinspun, PK Allen 2015 IEEE International Conference on Robotics and Automation (ICRA), 1382-1388, 2015	62	2015
6-pack: Category-level 6d pose tracker with anchor-based keypoints C Wang, R Martín-Martín, D Xu, J Lv, C Lu, L Fei-Fei, S Savarese, Y Zhu 2020 IEEE International Conference on Robotics and Automation (ICRA), 10059 …, 2020	61	2020
Situational fusion of visual representation for visual navigation WB Shen, D Xu, Y Zhu, LJ Guibas, L Fei-Fei, S Savarese Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	41	2019
Multi-sensor surface analysis for robotic ironing Y Li, X Hu, D Xu, Y Yue, E Grinspun, PK Allen 2016 IEEE International Conference on Robotics and Automation (ICRA), 5670-5676, 2016	40	2016
Three-dimensional bounding box from two-dimensional image and point cloud data D Xu, DD Anguelov, A Jain US Patent 10,438,371, 2019	30	2019
Model-driven feedforward prediction for manipulation of deformable objects Y Li, Y Wang, Y Yue, D Xu, M Case, SF Chang, E Grinspun, PK Allen IEEE Transactions on Automation Science and Engineering 15 (4), 1621-1638, 2018	30	2018
Learning to generalize across long-horizon tasks from human demonstrations A Mandlekar, D Xu, R Martín-Martín, S Savarese, L Fei-Fei Robotics: Science and Systems, 2020	28	2020
Continuous relaxation of symbolic planner for one-shot imitation learning DA Huang, D Xu, Y Zhu, A Garg, S Savarese, L Fei-Fei, JC Niebles 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019	26	2019
Procedure planning in instructional videos CY Chang, DA Huang, D Xu, E Adeli, L Fei-Fei, JC Niebles European Conference on Computer Vision, 334-350, 2020	25	2020
Topometric localization on a road network D Xu, H Badino, D Huber 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014	21	2014
Positive-unlabeled reward learning D Xu, M Denil Conference on Robot Learning 155, 2020	18	2020
Regression planning networks D Xu, R Martín-Martín, DA Huang, Y Zhu, S Savarese, LF Fei-Fei Advances in Neural Information Processing Systems 32, 2019	16	2019

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