Yuke Zhu
Yuke Zhu
Assistant Professor of Computer Science, The University of Texas at Austin
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.utexas.edu - Kotisivu
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
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
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
Visual7W: Grounded question answering in images
Y Zhu, O Groth, M Bernstein, L Fei-Fei
arXiv preprint arXiv:1511.03416, 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
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
Reasoning about object affordances in a knowledge base representation
Y Zhu, A Fathi, L Fei-Fei
European conference on computer vision, 408-424, 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
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
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
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
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
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
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
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
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
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
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
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
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
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Artikkelit 1–20