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Hang Chu![]() hc772 at cornell dot edu Computer Vision Researcher resume google scholar |
I am currently working on a startup.
Previously, I was a principal research scientist at Autodesk AI Lab. I did research at Facebook with Shugao Ma, Nvidia with Sanja Fidler, Google with Utsav Prabhu and Andrew Gallagher, TTIC with Matthew Walter, and Volkswagen with Anh Vu.
I was a PhD candidate at University of Toronto studying computer vision. I worked with Raquel Urtasun and Sanja Fidler. Before that, I was a master student at Cornell University advised by Tsuhan Chen and Ashutosh Saxena. I worked with Weiyao Lin and Wu-Jun Li as an undergraduate at Shanghai Jiao Tong University.
I co-host Daily Arxiv Radiostation with Ruotian Luo. We have been co-authoring the 7 Papers & Radios weekly column with Synced since 2019.
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Hang Chu, Amir Hosein Khasahmadi, Karl D.D. Willis, Fraser Anderson, Yaoli Mao, Linh Tran, Justin Matejka, Jo Vermeulen SimCURL: Simple Contrastive User Representation Learning from Command Sequences arXiv 2207.14760 Preprint |
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Karl D.D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints CVPR 2022 Paper Code |
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Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, Kamal Rahimi Malekshan CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation CVPR 2022 Paper Code |
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Dominic Roberts, Ara Danielyan, Hang Chu, Mani Golparvar-Fard, David Forsyth LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies ICCV 2021 Paper |
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Karl D.D. Willis, Pradeep Kumar Jayaraman, Joseph G. Lambourne, Hang Chu, Yewen Pu Engineering Sketch Generation for Computer-Aided Design CVPRW 2021, workshop on Sketch-Oriented Deep Learning Paper |
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Nelson Nauata, Sepidehsadat Hosseini, Kai-Hung Chang, Hang Chu, Chin-Yi Cheng, Yasutaka Furukawa House-GAN++: Generative Adversarial Layout Refinement Networks CVPR 2021 Paper Demo |
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Karl D.D. Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Reconstruction SIGGRAPH 2021 Paper Code |
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Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, Hao Li Learning to Generate Diverse Dance Motions with Transformer arXiv 2008.08171 Preprint |
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Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh Expressive Telepresence via Modular Codec Avatar ECCV 2020 Paper Video Project Media: ![]() |
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Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler Neural Turtle Graphics for Modeling City Road Layouts ICCV 2019, oral Paper Video Project Code (awaiting Nvidia's permission) |
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Wei-Chiu Ma, Hang Chu, Bolei Zhou, Raquel Urtasun, Antonio Torralba Single Image Intrinsic Decomposition without a Single Intrinsic Image ECCV 2018 Paper |
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Hang Chu, Daiqing Li, Sanja Fidler A Face-to-Face Neural Conversation Model CVPR 2018 Paper Video Project Live Demo (by request) Media: ![]() ![]() ![]() |
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Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler SurfConv: Bridging 3D and 2D Convolution for RGBD Images CVPR 2018 Paper Code |
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Shenlong Wang, Min Bai*, Gellert Mattyus*, Hang Chu*, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun TorontoCity: Seeing the World with a Million Eyes ICCV 2017 Paper |
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Hang Chu, Raquel Urtasun, Sanja Fidler Song From PI: A Musically Plausible Network for Pop Music Generation ICLR 2017, workshop track, invited full-length paper Paper Project Media: ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() Human performing: Baca et al. Sea Level Appeared in The Simpsons S30E05 |
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Hang Chu, Shenlong Wang, Raquel Urtasun, Sanja Fidler HouseCraft: Building Houses from Rental Ads and Street Views ECCV 2016 Paper Video Code Project Media: ![]() |
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Hang Chu, Hongyuan Mei, Mohit Bansal, Matthew R. Walter Accurate Vision-based Localization by Transferring Between Ground and Satellite Images NIPSW 2015, workshop on Transfer and Multi-Task Learning Paper Extended Version |
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Hang Chu, Dong-Ki Kim, Tsuhan Chen You Are Here: Mimicking the Human Thinking Process in Reading Floor-Plans ICCV 2015 Paper Video |
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Hang Chu, Anh Vu Consistent Ground-Plane Mapping: A Case Study Utilizing Low-Cost Sensor Measurements and a Satellite Image ICRA 2015 Paper Video Project |
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Hang Chu, Andrew Gallagher, Tsuhan Chen GPS Refinement and Camera Orientation Estimation from a Single Image and a 2D Map CVPRW 2014, workshop on Mobile Vision Paper Project Code |
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Weiyao Lin, Hang Chu, Jianxin Wu, Bin Sheng, Zhenzhong Chen A Heat-Map-based Algorithm for Recognizing Group Activities in Videos T-CSVT 2013 Paper Project |
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Hang Chu, Weiyao Lin, Jianxin Wu, Xingtong Zhou, Yuanzhe Chen, Hongxiang Li A New Heat-Map-based Algorithm for Human Group Activity Recognition ACM Multimedia 2012 Paper Project |