Yuke Zhu

Cytowane przez

	Wszystkie	Od 2019
Cytowania	21140	19458
h-indeks	52	49
i10-indeks	100	100

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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
Anima AnandkumarCalifornia Institute of Technology and NVIDIAZweryfikowany adres z caltech.edu
Animesh GargGeorgia Institute of Technology, University of Toronto, NvidiaZweryfikowany adres z gatech.edu
Linxi "Jim" FanNVIDIA, https://jimfan.meZweryfikowany adres z nvidia.com
Danfei XuAssistant Professor of Computer Science at Georgia TechZweryfikowany adres z gatech.edu
Ajay MandlekarResearch Scientist, NVIDIAZweryfikowany adres z nvidia.com
Roberto Martín-MartínThe University of Texas at AustinZweryfikowany adres z cs.utexas.edu
Yifeng ZhuThe University of Texas at AustinZweryfikowany adres z utexas.edu
Chris ChoyNVIDIAZweryfikowany adres z nvidia.com
Michael S. BernsteinAssociate Professor, Stanford UniversityZweryfikowany adres z cs.stanford.edu
Ranjay KrishnaAssistant Professor, University of WashingtonZweryfikowany adres z cs.washington.edu
De-An HuangStanford UniversityZweryfikowany adres z cs.stanford.edu
Oliver GrothSenior Research Scientist, Google DeepMindZweryfikowany adres z deepmind.com
Peter StoneProfessor of Computer Science, The University of Texas at AustinZweryfikowany adres z cs.utexas.edu
Soroush NasirianyThe University of Texas at AustinZweryfikowany adres z cs.utexas.edu
Li-Jia LiChief AI, IEEE FellowZweryfikowany adres z healthunity.org
David A. ShammaToyota Research InstituteZweryfikowany adres z acm.org
Kenji HataOpenAIZweryfikowany adres z openai.com
Joshua KravitzStanford UniversityZweryfikowany adres z alumni.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	5890	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	1888	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	1401	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	1121	2019
Visual7W: Grounded question answering in images Y Zhu, O Groth, M Bernstein, L Fei-Fei arXiv preprint arXiv:1511.03416, 2015	1008	2015
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	900	2017
Voyager: An open-ended embodied agent with large language models G Wang, Y Xie, Y Jiang, A Mandlekar, C Xiao, Y Zhu, L Fan, ... arXiv preprint arXiv:2305.16291, 2023	601	2023
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	392	2019
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	386	2020
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	373	2018
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, ... arXiv preprint arXiv:2108.03298, 2021	352	2021
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	313	2014
Minedojo: Building open-ended embodied agents with internet-scale knowledge L Fan, G Wang, Y Jiang, A Mandlekar, Y Yang, H Zhu, A Tang, DA Huang, ... Advances in Neural Information Processing Systems 35, 18343-18362, 2022	287	2022
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	257	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	240	2020
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	233	2018
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	218	2020
Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023	206	2023
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	199	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	185	2018

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