Yuke Zhu
 

Publications

    2020

  • 6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints
    Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu
    ICRA 2020
  • KETO: Learning Keypoint Representations for Tool Manipulation
    Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese
    ICRA 2020

  • 2019

  • Causal Induction from Visual Observations for Goal Directed Tasks
    Suraj Nair, Yuke Zhu, Silvio Savarese, Li Fei-Fei
    NeurIPS 2019 Workshop on Causal Machine Learning
  • Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs
    Yunbo Wang*, Bo Liu*, Jiajun Wu, Yuke Zhu, Simon S Du, Li Fei-Fei, Joshua B Tenenbaum
    arXiv:1909.13003
  • SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning
    Linxi Fan*, Yuke Zhu*, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese,
    Li Fei-Fei
    arXiv:1909.12989
  • Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
    Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei
    CoRL 2019 (Oral Presentation)
  • Regression Planning Networks
    Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei
    NeurIPS 2019
  • Closing the Perception-Action Loop: Towards Building General-Purpose Robot Autonomy
    Yuke Zhu
    Stanford University Ph.D. Dissertation
  • Learning Task-Oriented Grasping for Tool Manipulation with Simulated Self-Supervision
    Kuan Fang, Yuke Zhu, Animesh Garg, Virja Mehta, Andrey Kuryenkov, Li Fei-Fei, Silvio Savarese
    IJRR 2019
  • Situational Fusion of Visual Representation for Visual Navigation
    William B. Shen, Danfei Xu, Yuke Zhu, Li Fei-Fei, Leonidas J. Guibas, Silvio Savarese
    ICCV 2019
  • Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset
    through Human Reasoning and Dexterity
    Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg,
    Silvio Savarese, Li Fei-Fei
    IROS 2019 (Best Cognitive Robotics Paper Finalist)
  • Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning
    De-An Huang, Danfei Xu, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei, Juan Carlos Niebles
    IROS 2019
  • DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
    Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese
    CVPR 2019
  • Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
    De-An Huang*, Suraj Nair*, Danfei Xu*, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese,
    Juan Carlos Niebles
    CVPR 2019 (Oral Presentation)
  • Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for
    Contact-Rich Tasks
    Michelle A. Lee*, Yuke Zhu*, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg,
    Jeannette Bohg
    ICRA 2019 (Best Conference Paper)

  • 2018

  • SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark
    Linxi Fan*, Yuke Zhu*, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese,
    Li Fei-Fei
    CoRL 2018
  • RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
    Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao,
    John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei
    CoRL 2018
  • Reinforcement and Imitation Learning for Diverse Visuomotor Skills
    Yuke Zhu, Ziyu Wang, Josh Merel, Andrei Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool,
    János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
    RSS 2018
  • Learning Task-Oriented Grasping for Tool Manipulation with Simulated Self-Supervision
    Kuan Fang, Yuke Zhu, Animesh Garg, Virja Mehta, Andrey Kuryenkov, Li Fei-Fei, Silvio Savarese
    RSS 2018
  • Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
    Danfei Xu*, Suraj Nair*, Yuke Zhu, Julian Gao, Animesh Garg, Li Fei-Fei, Silvio Savarese
    ICRA 2018

  • 2017

  • AI2-THOR: An Interactive 3D Environment for Visual AI
    Eric Kolve, Roozbeh Mottaghi, Daniel Gordon, Yuke Zhu, Abhinav Gupta, Ali Farhadi
    arXiv:1712.05474
  • ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems
    James Harrison*, Animesh Garg*, Boris Ivanovic, Yuke Zhu, Silvio Savarese, Li Fei-Fei, Marco Pavone
    ISRR 2017
  • Visual Semantic Planning using Deep Successor Representations
    Yuke Zhu*, Daniel Gordon*, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi
    ICCV 2017
  • Vicus: Exploiting Local Structures to Improve Network-based Analysis of Biological Data
    Bo Wang, Lin Huang, Yuke Zhu, Anshul Kundaje, Serafim Batzoglou, Anna Goldenberg
    PLoS Computational Biology 2017
  • Adversarially Robust Policy Learning: Active Construction of Physically-Plausible Perturbations
    Ajay Mandlekar*, Yuke Zhu*, Animesh Garg*, Li Fei-Fei, Silvio Savarese
    IROS 2017
  • Scene Graph Generation by Iterative Message Passing
    Danfei Xu, Yuke Zhu, Christopher B. Choy, Li Fei-Fei
    CVPR 2017
  • Knowledge Acquisition for Visual Question Answering via Iterative Querying
    Yuke Zhu, Joseph J. Lim, Li Fei-Fei
    CVPR 2017
  • Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
    Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, Joseph J. Lim, Abhinav Gupta, Li Fei-Fei, Ali Farhadi
    ICRA 2017
  • Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
    Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen,
    Yannis Kalanditis, Li-Jia Li, David A. Shamma, Michael Bernstein, Li Fei-Fei
    IJCV 2017

  • 2016 and earlier

  • Visual7W: Grounded Question Answering in Images
    Yuke Zhu, Oliver Groth, Michael Bernstein, Li Fei-Fei
    CVPR 2016
  • Action Recognition by Hierarchical Mid-level Action Elements
    Tian Lan*, Yuke Zhu*, Amir Roshan Zamir, Silvio Savarese [* indicates equal contribution]
    ICCV 2015
  • Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries
    Yuke Zhu, Ce Zhang, Christopher Ré, Li Fei-Fei
    arXiv:1507.05670
  • Reasoning About Object Affordances in a Knowledge Base Representation
    Yuke Zhu, Alireza Fathi, Li Fei-Fei
    ECCV 2014
  • Modelling Relational Statistics With Bayes Nets
    Oliver Schulte, Hassan Khosravi, Arthur Kirkpatrick, Tianxiang Gao, Yuke Zhu
    Machine Learning Journal 2014
  • StrokeBank: Automating Personalized Chinese Handwriting Generation
    Alfred Zong, Yuke Zhu
    IAAI 2014
  • Latent Spatio-temporal Models for Action Localization and Recognition
    in Nursing Home Surveillance Video
    Yuke Zhu, Tian Lan, Yijian Yang, Steven Robinovitch, and Greg Mori
    MVA 2013
  • Graphical Model-based Learning in High Dimensional Feature Spaces
    Zhao Song and Yuke Zhu
    AAAI 2013