Hang Chu

Hang Chu

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Co-Founder & CEO
Toronto, Ontario, Canada

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Résumé

Jobs verified_user 0% verified
  • Viggle
    Co-Founder & CEO
    Viggle
    Aug 2022 - Current (3 years 11 months)
  • Autodesk
    Principal AI Researcher
    Autodesk
    May 2020 - Jul 2022 (2 years 3 months)
    Autodesk AI Lab, 3D generative models & augmented product design and learning
  • Facebook
    Research Collaborator
    Facebook
    Sep 2019 - Apr 2020 (8 months)
    Facebook Reality Labs, telepresence and facial avatar generation
  • Facebook
    Research Intern
    Facebook
    May 2019 - Aug 2019 (4 months)
    Facebook Reality Labs, telepresence and facial avatar generation
  • NVIDIA
    Research Intern
    NVIDIA
    May 2018 - Apr 2019 (1 year)
    Nvidia Research, 3D content generation
  • R
    Research Intern
    May 2017 - Aug 2017 (4 months)
    Machine Perception @ Google Research, temporal semantic understanding for videos
  • University of Toronto
    Visiting Researcher, Department of Computer Science
    University of Toronto
    Oct 2015 - Jun 2016 (9 months)
    Semantic scene understanding and computer vision
  • Toyota Technological Institute at Chicago TTIC
    Visiting Student
    Toyota Technological Institute at Chicago TTIC
    Jun 2015 - Oct 2015 (5 months)
    Localization using satellite imagery, localization in forest environment (collaborative project with MIT-Lincoln Lab)
  • V
    Research Intern
    Volkswagen Electronics Research Lab
    Jun 2014 - Aug 2014 (3 months)
    Driver Assistance Systems team, HD mapping for autonomous vehicles
Education verified_user 0% verified
  • University of Toronto
    PhD ABD, Computer Science
    University of Toronto
    Jan 2016 - Dec 2020 (5 years)
    Machine Learning Group
  • Cornell University
    Master of Science, Electrical and Computer Engineering
    Cornell University
    Jan 2013 - Dec 2015 (3 years)
    Advanced Multimedia Processing Lab
  • Shanghai Jiao Tong University
    Bachelor of Science, Information Engineering
    Shanghai Jiao Tong University
    Jan 2009 - Dec 2013 (5 years)
    School of Electronic Information and Electrical Engineering
Awards verified_user 0% verified
  • I
    ICCV Doctoral Consortium
    Jan 2019
  • U
    UofT PhD Fellowship
    Jan 2016
  • I
    ICRA Student Travel Award (Declined)
    Jan 2015
  • S
    SJTU Excellent Bachelor Thesis Award (1%)
    Jan 2013
  • S
    SJTU Excellence Scholarship (4 consecutive years)
    Jan 2013
  • A
    ACM MM Student Travel Award
    Jan 2012
  • W
    Wen-Yuan Pan Scholarship
    Jan 2010
  • V
    Vector Institute Research Grant
Publications verified_user 0% verified
  • C
    CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation
    Computer Vision and Pattern Recognition CVPR
    Jan 2022
  • C
    JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints
    Computer Vision and Pattern Recognition CVPR
    Jan 2022
  • I
    LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies
    International Conference on Computer Vision ICCV
    Jan 2021
  • C
    House-GAN++: Generative Adversarial Layout Refinement Networks
    Computer Vision and Pattern Recognition CVPR
    Jan 2021
  • S
    Fusion 360 Gallery: A Dataset and Environment for Programmatic CAD Reconstruction
    Siggraph
    Jan 2021
  • C
    Engineering Sketch Generation for Computer-Aided Design
    Computer Vision and Pattern Recognition Workshop CVPR workshop
    Jan 2021
  • a
    Learning to Generate Diverse Dance Motions with Transformer
    arXiv
    Aug 2020
    With the ongoing pandemic, virtual concerts and live events using digitized performances of musicians are getting traction on massive multiplayer online worlds. However, well choreographed dance movements are extremely complex to animate and would involve an expensive and tedious production process. In addition to the use of complex motion capture systems, it typically requires a collaborative effort between animators, dancers, and choreographers. We introduce a complete system for dance motion synthesis, which can generate complex and highly diverse dance sequences given an input music sequence. As motion capture data is limited for the range of dance motions and styles, we introduce a massive dance motion data set that is created from You
  • E
    Expressive Telepresence via Modular Codec Avatar
    European Conference on Computer Vision ECCV
    Jan 2020
  • I
    Neural Turtle Graphics for Modeling City Road Layouts
    ICCV oral presentation
    Aug 2019
  • E
    Single Image Intrinsic Decomposition without a Single Intrinsic Image
    European Conference on Computer Vision ECCV
    Jan 2018
  • C
    SurfConv: Bridging 3D and 2D Convolution for RGBD Images
    Computer Vision and Pattern Recognition CVPR
    Jan 2018
  • C
    A Face-to-Face Neural Conversation Model
    Computer Vision and Pattern Recognition CVPR
    Jan 2018
  • I
    Song From PI: A Musically Plausible Network for Pop Music Generation
    International Conference on Learning Representations Workshop ICLR workshop
    Jan 2017
  • I
    TorontoCity: Seeing the World with a Million Eyes
    International Conference on Computer Vision ICCV
    Jan 2017
  • E
    HouseCraft: Building Houses from Rental Ads and Street Views
    European Conference on Computer Vision ECCV
    Jan 2016
  • I
    You Are Here: Mimicking the Human Thinking Process in Reading Floor-Plans
    International Conference on Computer Vision ICCV
    Jan 2015
  • I
    Consistent Ground-Plane Mapping: A Case Study Utilizing Low-Cost Sensor Measurements and a Satellite Image
    IEEE International Conference on Robotics and Automation ICRA
    Jan 2015
  • T
    Accurate Vision-based Localization by Transferring Between Ground and Satellite Images
    Transfer and MultiTask Learning Workshop Neural Information Processing Systems NIPS workshop
    Jan 2015
  • M
    GPS Refinement and Camera Orientation Estimation from a Single Image and a 2D Map
    Mobile Vision Workshop IEEE Computer Vision and Pattern Recognition CVPR workshop
    Jan 2014
  • I
    A Heat-Map-based Algorithm for Recognizing Group Activities in Videos
    IEEE Transactions on Circuits and Systems for Video Technology TCSVT
    Jan 2013
  • A
    A New Heat-Map-based Algorithm for Human Group Activity Recognition
    ACM Multimedia ACM MM
    Jan 2012
  • A
    Accurate Vision-based Vehicle Localization using Satellite Imagery
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