Hao Li
About Hao Li
- Affiliations
- University of Southern California (USC), Assistant Professor
- University of California, Berkeley
- Pinscreen, University of Southern California Institute for Creative Technologies, Founder
- École Polytechnique Fédérale de Lausanne (EPFL) and Mohamed Bin Zayed University of Artificial Intelligence
- Location
- United States of America
- Website
- http://www.hao-li.com/
- Bio
SIGGRAPH 2016
Hao Li joined the University of Southern California in 2013 as a tenure-track assistant professor of computer science. Before his faculty appointment he was a research lead at Industrial Light & Magic, where he developed the next generation real-time performance capture technologies for Star Wars Episode VII. Prior to joining the force, Hao spent a year as a postdoctoral researcher at Columbia and Princeton Universities. His research lies in geometry processing, 3D reconstruction, and performance capture. While primarily developed to improve real-time digital content creation in film production, his work on markerless dynamic shape reconstruction has also impacted the field of human shape analysis and biomedicine. His algorithms are widely deployed in the industry, ranging from leading visual effects studios to manufacturers of state of-the-art radiation therapy systems. He has been named top 35 innovator under 35 by MIT Technology Review in 2013 and NextGen 10: Innovators under 40 by CSQ in 2014. He was also awarded the Google Faculty Award in 2015, the SNF Fellowship for prospective researchers in 2011, and best paper award at SCA 2009. He obtained his PhD from ETH Zurich in 2010 and received his MSc degree in Computer Science in 2006 from the University of Karlsruhe (TH). He was a visiting professor at Weta Digital in 2014 and visiting researcher at EPFL in 2010, Industrial Light & Magic (Lucasfilm) in 2009, Stanford University in 2008, National University of Singapore in 2006, and ENSIMAG in 2003.
SIGGRAPH ASIA 2016
Dr. Li is an assitant processor at the University of Southern California, and CEO of Pinscreen. He was a postdoctoral researcher at Columbia and Princeton and a research lead at Industrial Light&Magic.; He obtained his PhD from ETH Zurich and his MSc degree from the University of Karlsruhe.
SIGGRAPH 2015
Hao Li joined the University of Southern California in 2013 as a tenure-track assistant professor of computer science. Before his faculty appointment he was a research lead at Industrial Light & Magic, where he developed the next generation real-time performance capture technologies for Star Wars Episode VII. Prior to joining the force, Hao spent a year as a postdoctoral researcher at Columbia and Princeton Universities. His research lies in geometry processing, 3D reconstruction, and performance capture. While primarily developed to improve real-time digital content creation in film production, his work on markerless dynamic shape reconstruction has also impacted the field of human shape analysis and biomedicine. His algorithms are widely deployed in the industry, ranging from leading visual effects studios to manufacturers of state- of-the-art radiation therapy systems. He has been named top 35 innovator under 35 by MIT Technology Review in 2013 and NextGen 10: Innovators under 40 by CSQ in 2014. He was also awarded the Google Faculty Award in 2015, the SNF Fellowship for prospective researchers in 2011, and best paper award at SCA 2009. He obtained his PhD from ETH Zurich in 2010 and received his MSc degree in Computer Science in 2006 from the University of Karlsruhe (TH). He was a visiting professor at Weta Digital in 2014 and visiting researcher at EPFL in 2010, Industrial Light & Magic (Lucasfilm) in 2009, Stanford University in 2008, National University of Singapore in 2006, and ENSIMAG in 2003.
OTHER AFFILIATIONS: Columbia University, ETH Zurich
SIGGRAPH ASIA 2019:
Hao Li is CEO/Co-Founder of Pinscreen, Associate Professor of Computer Science at the University of Southern California, and the director of the Vision and Graphics Lab at the USC Institute for Creative Technologies. He was previously a visiting professor at Weta Digital, a research lead at Industrial Light & Magic / Lucasfilm, and a postdoctoral fellow at Columbia and Princeton Universities. He was named top 35 innovator under 35 by MIT Technology Review in 2013 and was also awarded the Google Faculty Award, the Okawa Foundation Research Grant, as well as the Andrew and Erna Viterbi Early Career Chair. He won the Office of Naval Research (ONR) Young Investigator Award in 2018 and was named named to the DARPA ISAT Study Group in 2019. Hao obtained his PhD at ETH Zurich and his MSc at the University of Karlsruhe (TH).
- SIGGRAPH Member Profile
- Click to view Hao Li's member profile
- Awards and Recognition
- SIGGRAPH 2020 Real-Time Live! Best in Show: Li, Olszewski, Xiu, Saito, Huang, et al. …
SIGGRAPH Conference Organizing Committee Positions
- Committee Member
- SIGGRAPH Asia 2022: Real-Time Live!
- SIGGRAPH Asia 2017: Technical Papers
- SIGGRAPH Asia 2018: Technical Papers
- Jury Member
- SIGGRAPH 2015: Technical Papers
Conference Contributions
- Experiences
-
Contributor(s):Entry #: 11
Contributor(s):Entry #: 14 - Presentations
- Sessions Moderated
- “Mapping virtual and physical reality”
- “Rich360: optimized spherical representation from structured panoramic camera arrays”
- “Roto++: accelerating professional rotoscoping using shape manifolds”
- “Generating dynamically feasible trajectories for quadrotor cameras”
- “RAPter: rebuilding man-made scenes with regular arrangements of planes”
- “LOD Generation for Urban Scenes” by Lafarge, Verdie and Alliez
- “Coupled segmentation and similarity detection for architectural models”
- “Shape Segmentation by Approximate Convexity Analysis” by Kaick, Fish, Kleiman, Asafi and Cohen-Or
- “ACM SIGGRAPH Frontiers Workshop on Truth in Graphics and Future of AI-Generated Content” by Li, Martin, Bregler, Zheng, Demyanov, et al. …
- “Warp-guided GANs for single-photo facial animation”
- “Practical dynamic facial appearance modeling and acquisition”
- “Stabilized real-time face tracking via a learned dynamic rigidity prior”
- “Deep incremental learning for efficient high-fidelity face tracking”
- Courses Organized
- “Modeling and Capturing the Human Body for Rendering, Health, and Visualization” by Li, Das, Swedish, Park and Raskar
- “Capturing the Human Body: From VR, Consumer, to Health Applications” by Das, Swedish, Shah, Raskar and Wei
- “Geometric Deep Learning” by Li, Bronstein, Boscaini, Masci and Rodolà
- “Modern Techniques and Applications for Real-Time Non-Rigid Registration” Chaired by Andrea Tagliasacchi and Hao Li
Other Information
- Roles
- Awardee
- Birds of Feather Presenter
- Course Organizer
- Course Presenter
- Emerging Technologies Presenter
- Frontiers Moderator
- Frontiers Presenter
- Production Session Presenter
- Real-Time Live Organizing Committee Member
- Real-Time Live Presenter
- Talk (Sketch) Presenter
- Technical Paper Presenter
- Technical Papers Jury Member
- Technical Papers Organizing Committee Member
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