Yuke Zhu

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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
Animesh GargAssistant Professor, University of Toronto, Vector Institute, NvidiaVerified email at cs.toronto.edu
Danfei XuAssistant Professor of Computer Science at Georgia TechVerified email at gatech.edu
Roberto Martín-MartínAssistant Professor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Michael S. BernsteinAssociate Professor, Stanford UniversityVerified email at cs.stanford.edu
Oliver GrothResearch Scientist, DeepMindVerified email at deepmind.com
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Roozbeh MottaghiAllen Institute for Artificial IntelligenceVerified email at cs.stanford.edu
Ranjay KrishnaUniversity of Washington, Facebook AI ResearchVerified email at fb.com
Yannis KalantidisNAVER LABS EuropeVerified email at fb.com
Justin JohnsonAssistant Professor, University of Michigan; Research Scientist, Meta AIVerified email at umich.edu
Li-Jia LiChief AI Fellow, RWE for Sleep, School of Medicine, Stanford UniversityVerified email at cs.stanford.edu
David A. ShammaToyota Research InstituteVerified email at acm.org
Kenji HataGoogle, Princeton University, Stanford UniversityVerified email at google.com
Joshua KravitzStanford UniversityVerified email at stanford.edu
Joseph J. LimAssociate Professor at KAISTVerified email at csail.mit.edu
Chris ChoyNVIDIAVerified email at nvidia.com
Kuan FangPostdoc, UC BerkeleyVerified email at berkeley.edu

Yuke Zhu

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

Verified email at cs.utexas.edu - Homepage

Robot Learning Computer Vision Machine Learning Robotics Artificial Intelligence


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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	3209	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	1308	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	829	2017
Visual7W: Grounded question answering in images Y Zhu, O Groth, M Bernstein, L Fei-Fei arXiv preprint arXiv:1511.03416, 2015	737	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	544	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	425	2017
Reasoning about object affordances in a knowledge base representation Y Zhu, A Fathi, L Fei-Fei European conference on computer vision, 408-424, 2014	253	2014
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	245	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	224	2019
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	156	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	134	2020
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	128	2017
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	121	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	114	2018
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	102*	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	102	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	94	2019
robosuite: A modular simulation framework and benchmark for robot learning Y Zhu, J Wong, A Mandlekar, R Martín-Martín arXiv preprint arXiv:2009.12293, 2020	89	2020
Action recognition by hierarchical mid-level action elements T Lan, Y Zhu, AR Zamir, S Savarese Proceedings of the IEEE international conference on computer vision, 4552-4560, 2015	81	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	74	2020

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