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-MartínPostdoc at Stanford UniversityVerified email at stanford.edu
Chris ChoyNVIDIAVerified email at nvidia.com
Yinxiao LiColumbia UniversityVerified email at cs.columbia.edu
Dragomir AnguelovDistinguished Researcher, WaymoVerified email at cs.stanford.edu
Animesh GargUniversity of Toronto, Vector Institute, NvidiaVerified email at cs.toronto.edu
Chen WangStanford UniversityVerified email at stanford.edu
Ashesh JainDirector of Engineering, Lyft Level-5 Self-Driving ProgramVerified email at cs.cornell.edu
De-An HuangStanford UniversityVerified email at cs.stanford.edu
Suraj NairStanford UniversityVerified email at cs.stanford.edu
Juan Carlos NieblesSr Research Scientist (Stanford University)Verified 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
Ajay MandlekarPhD Candidate, Stanford UniversityVerified email at stanford.edu
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Hernan BadinoFacebook Reality LabsVerified email at oculus.com
Daniel HuberSenior Systems Scientist, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Danfei Xu

Stanford University

Verified email at stanford.edu - Homepage

Robot Learning Computer Vision


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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	870	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	488	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	240	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	235	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	140	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	95	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	80	2015
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	50	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	45	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	33	2016
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	21	2018
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	20	2020
Topometric localization on a road network D Xu, H Badino, D Huber 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014	18	2014
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	16	2019
Three-dimensional bounding box from two-dimensional image and point cloud data D Xu, DD Anguelov, A Jain US Patent 10,438,371, 2019	12	2019
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 arXiv preprint arXiv:1908.06769, 2019	12	2019
European conference on computer vision CB Choy, D Xu, J Gwak, K Chen, S Savarese Springer, 2016	11	2016
Positive-unlabeled reward learning D Xu, M Denil arXiv preprint arXiv:1911.00459, 2019	8	2019
Learning to generalize across long-horizon tasks from human demonstrations A Mandlekar, D Xu, R Martín-Martín, S Savarese, L Fei-Fei arXiv preprint arXiv:2003.06085, 2020	7	2020
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	6	2020

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