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ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills

Aug 09, 2021
Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su


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PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics

Apr 07, 2021
Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan

* Accepted to ICLR 2021 as a spotlight presentation. Project page: 

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Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks

Oct 26, 2020
Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su

* To appear at NeurIPS 2020 

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Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories

Feb 16, 2020
Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su

* Accepted by ICLR2020 

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Mapping State Space using Landmarks for Universal Goal Reaching

Aug 15, 2019
Zhiao Huang, Fangchen Liu, Hao Su

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Object-Oriented Dynamics Predictor

Oct 30, 2018
Guangxiang Zhu, Zhiao Huang, Chongjie Zhang

* Accepted to NIPS 2018 

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Associative Embedding: End-to-End Learning for Joint Detection and Grouping

Jun 09, 2017
Alejandro Newell, Zhiao Huang, Jia Deng

* Added results on MS-COCO and updated results on MPII 

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Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression

Nov 16, 2015
Zhiao Huang, Erjin Zhou, Zhimin Cao

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