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Vectorization of Raster Manga by Deep Reinforcement Learning


Oct 10, 2021
Hao Su, Jianwei Niu, Xuefeng Liu, Jiahe Cui, Ji Wan

* 9 pages 

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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

* https://github.com/haosulab/ManiSkill 

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Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation


Jul 01, 2021
Nicklas Hansen, Hao Su, Xiaolong Wang

* Code and videos are available at https://nicklashansen.github.io/SVEA 

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Single RGB-D Camera Teleoperation for General Robotic Manipulation


Jun 30, 2021
Quan Vuong, Yuzhe Qin, Runlin Guo, Xiaolong Wang, Hao Su, Henrik Christensen


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O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning


Jun 29, 2021
Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas Guibas


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Particle Cloud Generation with Message Passing Generative Adversarial Networks


Jun 22, 2021
Raghav Kansal, Javier Duarte, Hao Su, Breno Orzari, Thiago Tomei, Maurizio Pierini, Mary Touranakou, Jean-Roch Vlimant, Dimitrios Gunopulos

* 13 pages, 4 figures, 2 tables, and a 3 page appendix 

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One-shot Learning with Absolute Generalization


May 28, 2021
Hao Su

* 8 pages, 41 figures 

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OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation


Apr 23, 2021
Ziyuan Liu, Wei Liu, Yuzhe Qin, Fanbo Xiang, Songyan Xin, Maximo A. Roa, Berk Calli, Hao Su, Yu Sun, Ping Tan


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CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds


Apr 08, 2021
Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas


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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: http://plasticinelab.csail.mit.edu/ 

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GNeRF: GAN-based Neural Radiance Field without Posed Camera


Mar 30, 2021
Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, Jingyi Yu


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MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo


Mar 29, 2021
Anpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, Hao Su


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NeuTex: Neural Texture Mapping for Volumetric Neural Rendering


Mar 01, 2021
Fanbo Xiang, Zexiang Xu, Miloš Hašan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Hao Su


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DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates


Feb 18, 2021
Minghua Liu, Minhyuk Sung, Radomir Mech, Hao Su


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Design and Actuator Optimization of Lightweight and Compliant Knee Exoskeleton for Mobility Assistance of Children with Crouch Gait


Jan 01, 2021
Sainan Zhang, Tzu-Hao Huang, Chunhai Jiao, Mhairi MacLean, Junxi Zhu, Shuangyue Yu, Hao Su


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Medical Robots for Infectious Diseases: Lessons and Challenges from the COVID-19 Pandemic


Dec 14, 2020
Antonio Di Lallo, Robin R. Murphy, Axel Krieger, Junxi Zhu, Russell H. Taylor, Hao Su

* 8 pages, 9 figures, publish in RA-magazine 

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Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation


Dec 09, 2020
Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su


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Compositionally Generalizable 3D Structure Prediction


Dec 04, 2020
Songfang Han, Jiayuan Gu, Kaichun Mo, Li Yi, Siyu Hu, Xuejin Chen, Hao Su


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An End-to-end Method for Producing Scanning-robust Stylized QR Codes


Nov 16, 2020
Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Ji Wan, Mingliang Xu, Tao Ren

* 11 pages, 16 figures 

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Rearrangement: A Challenge for Embodied AI


Nov 03, 2020
Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su

* Authors are listed in alphabetical order 

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Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals


Oct 26, 2020
Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su

* 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada 

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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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BiPointNet: Binary Neural Network for Point Clouds


Oct 12, 2020
Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su


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Photon-Driven Neural Path Guiding


Oct 05, 2020
Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

* Keywords: computer graphics, rendering, path tracing, path guiding, machine learning, neural networks, denoising, reconstruction 

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Weakly-supervised 3D Shape Completion in the Wild


Aug 20, 2020
Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun

* Accepted by ECCV 2020 

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Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints


Jul 29, 2020
You-Yi Jau, Rui Zhu, Hao Su, Manmohan Chandraker

* 8 pages, 5 figures, to appear at IROS 2020 

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Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images


Jul 21, 2020
Tianwen Zhang, Xiaoling Zhang, Jun Shi, Shunjun Wei, Jianguo Wang, Jianwei Li, Hao Su, Yue Zhou


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Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance


Jul 17, 2020
Minghua Liu, Xiaoshuai Zhang, Hao Su

* ECCV 2020 

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