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 GargUniversity of Toronto, Vector Institute, NvidiaVerified email at cs.toronto.edu
Danfei XuStanford UniversityVerified email at stanford.edu
Michael S. BernsteinAssociate Professor, Stanford UniversityVerified email at cs.stanford.edu
Oliver GrothDPhil Student, Department of Engineering Science, University of OxfordVerified email at robots.ox.ac.uk
Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Roozbeh MottaghiAllen Institute for Artificial IntelligenceVerified email at cs.stanford.edu
Roberto Martín-MartínPostdoc at Stanford UniversityVerified email at stanford.edu
Ranjay KrishnaPhD Candidate at Stanford UniversityVerified email at stanford.edu
Yannis KalantidisNAVER LABS EuropeVerified email at fb.com
Li-Jia LiAdjunct Professor, 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
Ajay MandlekarPhD Candidate, Stanford UniversityVerified email at stanford.edu
Joseph J. LimAssistant Professor at University of Southern CaliforniaVerified email at csail.mit.edu
Justin JohnsonAssistant Professor, University of Michigan; Visiting Scientist, Facebook AI ResearchVerified email at umich.edu
Chris ChoyNVIDIAVerified email at nvidia.com
Julian GaoElectrical Engineering B.S., Rice University; M.S. Student of Computer Science, Stanford UniversityVerified email at stanford.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	2014	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	967	2017
Visual7W: Grounded question answering in images Y Zhu, O Groth, M Bernstein, L Fei-Fei arXiv preprint arXiv:1511.03416, 2015	552	2015
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	521	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 Conference on Computer Vision and Pattern …, 2019	275	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	228	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	224	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	170	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	137	2019
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	102	2017
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	98	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	82	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	81	2018
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	78	2015
Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries Y Zhu, C Zhang, C Ré, L Fei-Fei arXiv preprint arXiv:1507.05670 6, 2015	69	2015
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	65	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	58*	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	58	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	49	2019
Knowledge Acquisition for Visual Question Answering via Iterative Querying Y Zhu, JJ Lim, L Fei-Fei CVPR, 2017	32	2017

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