Zhaoyang Lv (original) (raw)
Research Scientist, Reality Labs Research, Meta.
Previous Education:
Ph.D. in Robotics, School of Interactive Computing, Georgia Institute of Technology
M.Sc., Artificial Intelligence in Computing, Imperial College London
B.Sc., Electrical Engineering in Aeronauntics, Northwestern Polytechnical University
I have been a research scientist in Reality Labs Research, Meta since 2019. I finished my Ph.D. at Georgia Tech, jointly advised by Prof. James Rehg, and Prof. Frank Dellaert. During my Ph.D., I am also fortunate to intern at Nvidia Research in the group of Jan Kautz and at Max Planck Institute with Prof. Andreas Geiger. Before I started my Ph.D., I finished my Master thesis under the supervision of Prof. Andrew Davison at Imperial College London.
Thoughout my research, I am obessed about digitalizing the world in 3D and 4D as we human are able to see using commodity camera sensing. I am a believer that augmented reality with 3D sensing and content that can work on a small form factor devices (e.g. a pair of glasses) will become ubiquitous and fundamentally change the way we interact with world and record our memories. Quote Steve Jobs' comments on GUI when he visited Xerox PARC in 1979 :
Within 10 minutes, it was obvious to me that all computers would work like this someday. You could argue about how many number of years it would take, and you could argue about who the winners and the losers might be, but you couldn't argue about the inevitability.
I work on multidisciplinary field research and make my contributions towards it. I love 3D computer vision, with some work strongly related to techniques using computational photography, graphics, machine learning and robotics.
Neural 3D Video Synthesis from Multi-view Video
Tianye Li, Mira Slavcheva, Michael Zollhoefer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard Newcombe, Zhaoyang Lv
Computer Vision and Pattern Recognition (CVPR) 2022, arXiv 2103.02597
Oral Presentation
Project Page
STaR: Self-supervised Tracking and Reconstruction of Rigid Objects in Motion with Neural Rendering
Wentao Yuan, Zhaoyang Lv, Tanner Schmidt, Steven Lovegrove
Computer Vision and Pattern Recognition (CVPR) 2021, arXiv 2101.01602
Project Page
KinfuSeg: A Dynamic SLAM Approach Based on KinectFusion
Zhaoyang Lv
Master Thesis , Imperial College London
Video Slides
Thesis Advisor: Prof. Andrew Davison
Distinguished Thesis in Department of Computing (3 among 71), Top 5%
Reality Labs Research, Redmond, Sept. 2019 - Present
Research Scientist
Autonomous Vision Group, Max Planck Institute for Intelligent System, Tuebingen, June 2018 - Nov. 2018
Visiting student
Advisor: Prof. Andreas Geiger
Qualcomm Research, Greater San Diego, May 2016 - Aug. 2016
Research Intern
Manager: Dr. Ali Agha
Zhejiang University, Hangzhou, Dec. 2013 - July 2014
Visiting student
Mentor: Prof. Guofeng Zhang
Vice President in Public Relation for RoboGrads, Georgia Tech, Fall 2016 - Spring 2017
Multiple reviewer services for CVPR, ICCV, ECCV, ICLR, SIGGRAPH, SIGGRAPH Asia, ICRA, IROS, T-PAMI, IJCV, T-MM
Outstanding Reviewer, CVPR 2019
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