Danfei Xu

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Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at 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 JainCo-founder & CEO at Coram AIVerified email at coram.ai
Ajay MandlekarResearch Scientist, NVIDIAVerified email at nvidia.com
Yinxiao LiGoogle ResearchVerified email at cs.columbia.edu
De-An HuangStanford UniversityVerified email at cs.stanford.edu
Juan Carlos NieblesPrincipal Researcher (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
Misha DenilDeepMindVerified email at google.com

Danfei Xu

Assistant Professor of Computer Science at Georgia Tech

Verified email at gatech.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 Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	1574	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	1031	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	760	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	571	2018
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	191	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	180	2013
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	127	2019
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	118	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	113	2020
What matters in learning from offline human demonstrations for robot manipulation A Mandlekar, D Xu, J Wong, S Nasiriany, C Wang, R Kulkarni, L Fei-Fei, ... Conference on Robot Learning, 2021	108	2021
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	80	2015
Procedure planning in instructional videos CY Chang, DA Huang, D Xu, E Adeli, L Fei-Fei, JC Niebles Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	63	2020
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	59	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	55	2019
Progprompt: Generating situated robot task plans using large language models I Singh, V Blukis, A Mousavian, A Goyal, D Xu, J Tremblay, D Fox, ... arXiv preprint arXiv:2209.11302, 2022	47	2022
Three-dimensional bounding box from two-dimensional image and point cloud data D Xu, DD Anguelov, A Jain US Patent 10,438,371, 2019	46	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	45	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	40	2018
Human-in-the-loop imitation learning using remote teleoperation A Mandlekar, D Xu, R Martín-Martín, Y Zhu, L Fei-Fei, S Savarese arXiv preprint arXiv:2012.06733, 2020	39	2020
Deep affordance foresight: Planning through what can be done in the future D Xu, A Mandlekar, R Martín-Martín, Y Zhu, S Savarese, L Fei-Fei 2021 IEEE International Conference on Robotics and Automation (ICRA), 6206-6213, 2021	38	2021

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