Qianqian Wang
Also known as Quinn
Qianqian Wang is a computer vision researcher whose papers model motion and reconstruct dynamic 3D scenes from video. She earned a B.S. in Information Engineering at Zhejiang University, completed a computer science Ph.D. at Cornell, and received a 2022 Google Ph.D. Fellowship. Her work includes OmniMotion for long-range pixel tracking, DynIBaR for rendering dynamic scenes, and Shape of Motion for 4D reconstruction from monocular video. After a Berkeley postdoc and research work at Rhoda AI, she is an Assistant Professor of Computer Science at Harvard and a Kempner Institute Investigator.
- Now at
- Harvard University
Timeline
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By 2022
Zhejiang and Cornell
She earns a B.S. in Information Engineering from Zhejiang University. By 2022, she is a fifth-year computer science Ph.D. student at Cornell Tech, advised by Noah Snavely and Bharath Hariharan.
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2022
A Google PhD Fellowship
The Google Ph.D. Fellowship Program selects her as one of its 2022 fellows.
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2022
Neural Body for dynamic humans
She coauthors Neural Body, an approach for novel-view synthesis of dynamic humans nominated for a CVPR 2022 Best Paper Award.
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2023
A PhD and OmniMotion
She completes a Ph.D. in Computer Science at Cornell University in 2023 under Noah Snavely and Bharath Hariharan. She coauthors OmniMotion, an ICCV 2023 method for dense, long-range motion estimation of every video pixel; the paper wins the ICCV Best Student Paper Award in 2023.
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2023
DynIBaR renders dynamic scenes
She coauthors DynIBaR, which produces photorealistic free-viewpoint renderings from a single video of a complex dynamic scene and receives a CVPR 2023 Best Paper Honorable Mention.
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2024–2025
Shape of Motion
She introduces Shape of Motion in a 2024 preprint, reconstructing dynamic scenes with persistent 3D motion trajectories from casually captured monocular videos. The paper appears at ICCV in 2025.
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2025
MegaSaM receives a CVPR honor
She coauthors MegaSaM, a method for structure and motion from casual dynamic videos that receives a CVPR 2025 Best Paper Honorable Mention.
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August 2025
A Harvard appointment
In August 2025, Harvard announces that Wang will join as Kempner Institute Investigator and Assistant Professor of Computer Science at SEAS.
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By 2026
Research at Rhoda AI
Before joining Harvard in fall 2026, she is a Research Scientist at Rhoda AI, following a postdoc at UC Berkeley with Angjoo Kanazawa and Alexei A. Efros.
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Since 2026
Assistant professor at Harvard
In fall 2026, she joins Harvard as Assistant Professor of Computer Science at SEAS and Kempner Institute Investigator.
Career
- Since 2026Harvard UniversityAssistant Professor of Computer Science, Investigator
- University of California, BerkeleyPostdoc
- Rhoda AIResearch Scientist
Education
- 2023Cornell UniversityPhD in Computer Science
- Zhejiang UniversityB.S. in Information Engineering
- Cornell UniversityPhD student in computer science
Sources and credits
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- Qianqian Wang | EECS Rising Stars 2022
- Qianqian Wang awarded Google Fellowship
- Computer Scientist Qianqian Wang, an Expert in Computer Vision, to Join Harvard’s Kempner Institute and SEAS
- Tracking Everything Everywhere All at Once
- Qianqian (Quinn) Wang
- Qianqian Wang | Cornell Graphics and Vision Group
- DynIBaR: Space-time view synthesis from videos of dynamic scenes
- Shape of Motion: 4D Reconstruction from a Single Video
- CVPR 2025 Best Papers and Best Demos
- Qianqian Wang | Harvard John A. Paulson School of Engineering and Applied Sciences


