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Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning

Sep 10, 2020
Lucas Manuelli, Yunzhu Li, Pete Florence, Russ Tedrake


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Causal Discovery in Physical Systems from Videos

Jul 02, 2020
Yunzhu Li, Antonio Torralba, Animashree Anandkumar, Dieter Fox, Animesh Garg

* Project page: https://yunzhuli.github.io/V-CDN/ 

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Learning Physical Graph Representations from Visual Scenes

Jun 24, 2020
Daniel M. Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins

* 23 pages; corrected affiliations and acknowledgments 

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Visual Grounding of Learned Physical Models

Apr 28, 2020
Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel L. K. Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba

* The second and the third authors contributed equally to this paper, and are listed in alphabetical order. Project Page: http://visual-physics-grounding.csail.mit.edu/ 

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Learning Compositional Koopman Operators for Model-Based Control

Oct 18, 2019
Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba

* The first two authors contributed equally to this paper. Project Page: http://koopman.csail.mit.edu/ Video: https://www.youtube.com/watch?v=idFH4K16cfQ&feature=youtu.be 

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CLEVRER: CoLlision Events for Video REpresentation and Reasoning

Oct 03, 2019
Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum

* The first two authors contributed equally to this work. Project page: http://clevrer.csail.mit.edu/ 

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Connecting Touch and Vision via Cross-Modal Prediction

Jun 14, 2019
Yunzhu Li, Jun-Yan Zhu, Russ Tedrake, Antonio Torralba

* Accepted to CVPR 2019. Project Page: http://visgel.csail.mit.edu/ 

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Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

Oct 03, 2018
Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba


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Propagation Networks for Model-Based Control Under Partial Observation

Sep 28, 2018
Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake


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InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations

Nov 14, 2017
Yunzhu Li, Jiaming Song, Stefano Ermon

* 14 pages, NIPS 2017 

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Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning

Dec 04, 2016
Yunzhu Li, Andre Esteva, Brett Kuprel, Rob Novoa, Justin Ko, Sebastian Thrun

* 4 pages, 5 figures, Yunzhu Li and Andre Esteva contributed equally to this work 

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Face Detection with End-to-End Integration of a ConvNet and a 3D Model

Aug 29, 2016
Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang

* 16 pages, Y. Li and B. Sun contributed equally to this work 

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