Yuke Zhu
Yuke Zhu
PhD Student of Computer Science, Stanford University
Verified email at cs.stanford.edu - Homepage
TitleCited byYear
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, ...
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
Visual7W: Grounded question answering in images
Y Zhu, O Groth, M Bernstein, L Fei-Fei
arXiv preprint arXiv:1511.03416, 2015
Reasoning about object affordances in a knowledge base representation
Y Zhu, A Fathi, L Fei-Fei
European conference on computer vision, 408-424, 2014
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
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
Action recognition by hierarchical mid-level action elements
T Lan, Y Zhu, A Roshan Zamir, S Savarese
Proceedings of the IEEE international conference on computer vision, 4552-4560, 2015
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
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
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 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), 1-8, 2018
Modelling relational statistics with bayes nets
O Schulte, H Khosravi, AE Kirkpatrick, T Gao, Y Zhu
Machine Learning 94 (1), 105-125, 2014
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
Knowledge Acquisition for Visual Question Answering via Iterative Querying
Y Zhu, JJ Lim, L Fei-Fei
CVPR, 2017
StrokeBank: Automating Personalized Chinese Handwriting Generation
A Zong, Y Zhu
AAAI, 3024-3030, 2014
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
arXiv preprint arXiv:1806.09266, 2018
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 Conference on Computer Vision and Pattern …, 2019
Vicus: Exploiting local structures to improve network-based analysis of biological data
B Wang, L Huang, Y Zhu, A Kundaje, S Batzoglou, A Goldenberg
PLoS computational biology 13 (10), e1005621, 2017
Adapt: zero-shot adaptive policy transfer for stochastic dynamical systems
J Harrison, A Garg, B Ivanovic, Y Zhu, S Savarese, L Fei-Fei, M Pavone
arXiv preprint arXiv:1707.04674, 2017
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
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