Yuke Zhu

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Li Fei-FeiProfessor of Computer Science, Stanford UniversityZweryfikowany adres z cs.stanford.edu
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityZweryfikowany adres z stanford.edu
Animesh GargAssistant Professor, University of Toronto, Vector Institute, NvidiaZweryfikowany adres z cs.toronto.edu
Danfei XuAssistant Professor of Computer Science at Georgia TechZweryfikowany adres z gatech.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAZweryfikowany adres z caltech.edu
Ajay MandlekarResearch Scientist, NVIDIAZweryfikowany adres z nvidia.com
Roberto Martín-MartínAssistant Professor of Computer Science, The University of Texas at AustinZweryfikowany adres z cs.utexas.edu
Michael S. BernsteinAssociate Professor, Stanford UniversityZweryfikowany adres z cs.stanford.edu
Oliver GrothResearch Scientist, DeepMindZweryfikowany adres z deepmind.com
Chris ChoyNVIDIAZweryfikowany adres z nvidia.com
Linxi "Jim" FanNVIDIA, https://jimfan.meZweryfikowany adres z nvidia.com
Ranjay KrishnaUniversity of WashingtonZweryfikowany adres z cs.washington.edu
Yannis KalantidisNAVER LABS EuropeZweryfikowany adres z naverlabs.com
Justin JohnsonAssistant Professor, University of Michigan; Research Scientist, Meta AIZweryfikowany adres z umich.edu
Li-Jia LiChief AI Fellow, RWE for Sleep, School of Medicine, Stanford UniversityZweryfikowany adres z cs.stanford.edu
David A. ShammaToyota Research InstituteZweryfikowany adres z acm.org
Kenji HataGoogleZweryfikowany adres z google.com
Joshua KravitzStanford UniversityZweryfikowany adres z stanford.edu
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityZweryfikowany adres z cs.cmu.edu
Roozbeh MottaghiFAIR, Meta AIZweryfikowany adres z cs.stanford.edu

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Yuke Zhu

Assistant Professor of Computer Science, The University of Texas at Austin

Zweryfikowany adres z cs.utexas.edu - Strona główna

Robot Learning Computer Vision Machine Learning Robotics Artificial Intelligence


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Visual genome: Connecting language and vision using crowdsourced dense image annotations R Krishna, Y Zhu, O Groth, J Johnson, K Hata, J Kravitz, S Chen, ... URL http://arxiv. org/abs/1602.07332, 2016	3886	2016
Target-driven visual navigation in indoor scenes using deep reinforcement learning Y Zhu, R Mottaghi, E Kolve, JJ Lim, A Gupta, L Fei-Fei, A Farhadi 2017 IEEE international conference on robotics and automation (ICRA), 3357-3364, 2017	1469	2017
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	973	2017
Visual7W: Grounded question answering in images Y Zhu, O Groth, M Bernstein, L Fei-Fei arXiv preprint arXiv:1511.03416, 2015	801	2015
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 Conference on Computer Vision and Pattern …, 2019	718	2019
AI2-THOR: An interactive 3D environment for visual AI E Kolve, R Mottaghi, D Gordon, Y Zhu, A Gupta, A Farhadi arXiv preprint arXiv:1712.05474, 2017	538	2017
Reinforcement and imitation learning for diverse visuomotor skills Y Zhu, Z Wang, J Merel, A Rusu, T Erez, S Cabi, S Tunyasuvunakool, ... arXiv preprint arXiv:1802.09564, 2018	285	2018
Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks MA Lee, Y Zhu, K Srinivasan, P Shah, S Savarese, L Fei-Fei, A Garg, ... 2019 International Conference on Robotics and Automation (ICRA), 8943-8950, 2019	274	2019
Reasoning about object affordances in a knowledge base representation Y Zhu, A Fathi, L Fei-Fei Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	270	2014
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	186	2018
Learning task-oriented grasping for tool manipulation from simulated self-supervision K Fang, Y Zhu, A Garg, A Kurenkov, V Mehta, L Fei-Fei, S Savarese The International Journal of Robotics Research 39 (2-3), 202-216, 2020	164	2020
robosuite: A modular simulation framework and benchmark for robot learning Y Zhu, J Wong, A Mandlekar, R Martín-Martín, A Joshi, S Nasiriany, Y Zhu arXiv preprint arXiv:2009.12293, 2020	149	2020
Surreal: Open-source reinforcement learning framework and robot manipulation benchmark L Fan, Y Zhu, J Zhu, Z Liu, O Zeng, A Gupta, J Creus-Costa, S Savarese, ... Conference on Robot Learning, 767-782, 2018	149	2018
RoboTurk: A crowdsourcing platform for robotic skill learning through imitation A Mandlekar, Y Zhu, A Garg, J Booher, M Spero, A Tung, J Gao, ... arXiv preprint arXiv:1811.02790, 2018	147	2018
Visual semantic planning using deep successor representations Y Zhu, D Gordon, E Kolve, D Fox, L Fei-Fei, A Gupta, R Mottaghi, ... Proceedings of the IEEE international conference on computer vision, 483-492, 2017	144	2017
Adversarially robust policy learning: Active construction of physically-plausible perturbations. In 2017 IEEE A Mandlekar, Y Zhu, A Garg, L Fei-Fei, S Savarese RSJ International Conference on Intelligent Robots and Systems (IROS), 3932-3939, 2017	123*	2017
Adversarially Robust Policy Learning: Active Construction of Physically-Plausible Perturbations A Mandlekar, Y Zhu, A Garg, L Fei-Fei, S Savarese IEEE Int’l Conf. on Intelligent Robots and Systems (IROS), 2017	123	2017
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	118	2019
Making sense of vision and touch: Learning multimodal representations for contact-rich tasks MA Lee, Y Zhu, P Zachares, M Tan, K Srinivasan, S Savarese, L Fei-Fei, ... IEEE Transactions on Robotics 36 (3), 582-596, 2020	110	2020
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	108	2020

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