Danfei Xu

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Li Fei-FeiProfessor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityAdresse e-mail validée de stanford.edu
Yuke ZhuThe University of Texas at Austin, NVIDIA ResearchAdresse e-mail validée de cs.utexas.edu
Roberto Martín-MartínThe University of Texas at AustinAdresse e-mail validée de cs.utexas.edu
Ajay MandlekarResearch Scientist, NVIDIAAdresse e-mail validée de nvidia.com
Animesh GargGeorgia Institute of Technology, University of Toronto, NvidiaAdresse e-mail validée de gatech.edu
Chris ChoyNVIDIAAdresse e-mail validée de nvidia.com
Dragomir AnguelovVP and Head of Research, WaymoAdresse e-mail validée de cs.stanford.edu
Ashesh JainCo-founder & CEO at Coram AIAdresse e-mail validée de coram.ai
De-An HuangStanford UniversityAdresse e-mail validée de cs.stanford.edu
Yinxiao LiGoogle DeepMindAdresse e-mail validée de cs.columbia.edu
Suraj NairPhysical IntelligenceAdresse e-mail validée de physicalintelligence.company
Julian GaoElectrical Engineering B.S., Rice University; M.S. Student of Computer Science, Stanford UniversityAdresse e-mail validée de stanford.edu
Jeremy FishelSanctuary AIAdresse e-mail validée de sanctuary.ai
Gerald E. LoebProfessor of Biomedical Engineering, University of Southern CaliforniaAdresse e-mail validée de usc.edu
Leonidas GuibasProfessor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Chien-Yi ChangPhD Candidate, Stanford UniversityAdresse e-mail validée de stanford.edu
Misha DenilDeepMindAdresse e-mail validée de google.com
Hernan BadinoReality Labs Research, MetaAdresse e-mail validée de fb.com
Daniel HuberSenior Systems Scientist, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu

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Danfei Xu

Assistant Professor at School of Interactive Computing

Adresse e-mail validée de gatech.edu - Page d'accueil

Robot Learning Computer Vision


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	2087	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	1493	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	1207	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	849	2018
Progprompt: Generating situated robot task plans using large language models I Singh, V Blukis, A Mousavian, A Goyal, D Xu, J Tremblay, D Fox, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 11523 …, 2023	719	2023
Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023	458*	2023
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	414	2021
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	246	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	217	2013
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	181	2020
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	165	2019
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	146	2020
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	139	2015
Guided conditional diffusion for controllable traffic simulation Z Zhong, D Rempe, D Xu, Y Chen, S Veer, T Che, B Ray, M Pavone 2023 IEEE International Conference on Robotics and Automation (ICRA), 3560-3566, 2023	135	2023
Mimicplay: Long-horizon imitation learning by watching human play C Wang, L Fan, J Sun, R Zhang, L Fei-Fei, D Xu, Y Zhu, A Anandkumar arXiv preprint arXiv:2302.12422, 2023	134	2023
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	105	2020
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	88	2015
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	86	2021
Three-dimensional bounding box from two-dimensional image and point cloud data D Xu, DD Anguelov, A Jain US Patent 10,438,371, 2019	81	2019
Bits: Bi-level imitation for traffic simulation D Xu, Y Chen, B Ivanovic, M Pavone 2023 IEEE International Conference on Robotics and Automation (ICRA), 2929-2936, 2023	77	2023

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