Qianqian Wang

Assistant Professor · Harvard SEAS & Kempner Institute

I am an Assistant Professor of Computer Science at Harvard University and the Kempner Institute. My research interests lie at the intersection of computer vision, machine learning, and robotics. My long-term goal is to build intelligent systems that can perceive, understand, and continually learn from the physical world.

Before joining Harvard, I was a Research Scientist at Rhoda AI, following a postdoc at UC Berkeley with Angjoo Kanazawa and Alexei A. Efros. I received my PhD in Computer Science from Cornell Tech, Cornell University, advised by Noah Snavely and Bharath Hariharan. My work has been recognized with the ICCV 2023 Best Student Paper Award and CVPR Best Paper Honorable Mentions in 2023 and 2025.

I am recruiting PhD students in the December 2026 application cycle and am also looking for motivated research interns and postdocs to join my group.

Email / CV / Google Scholar / Twitter / GitHub

	Shape of Motion: 4D Reconstruction from a Single Video Qianqian Wang, Vickie Ye, Hang Gao, Weijia Zeng, Jake Austin, Zhengqi Li, Angjoo Kanazawa ICCV, 2025 project page / arXiv / code
	St4RTrack: Simultaneous 4D Reconstruction and Tracking in the World Haiwen Feng, Junyi Zhang, Qianqian Wang, Yufei Ye, Pengcheng Yu, Michael J. Black, Trevor Darrell, Angjoo Kanazawa ICCV, 2025 project page / arXiv
	Continuous 3D Perception Model with Persistent State Qianqian Wang, Yifei Zhang, Aleksander Holynski, Alexei A. Efros, Angjoo Kanazawa CVPR, 2025 (Oral) project page / arXiv / code
	MegaSaM: Accurate, Fast and Robust Structure and Motion from Casual Dynamic Videos Zhengqi Li, Richard Tucker, Forrester Cole, Qianqian Wang, Linyi Jin, Vickie Ye, Angjoo Kanazawa, Aleksander Hołyński, Noah Snavely CVPR 2025 (Best Paper Honorable Mention) project page / arXiv / code
	Segment Any Motion in Videos Nan Huang, Wenzhao Zheng, Chenfeng Xu, Kurt Keutzer, Shanghang Zhang, Angjoo Kanazawa, Qianqian Wang CVPR 2025 project page / arXiv / code
	Robot See Robot Do: Imitating Articulated Object Manipulation with Monocular 4D Reconstruction Justin Kerr, Chung Min Kim, Mingxuan Wu, Brent Yi, Qianqian Wang, Ken Goldberg, Angjoo Kanazawa CoRL, 2024 (Oral) project page / arXiv / code
	SpatialTracker: Tracking Any 2D Pixels in 3D Space Yuxi Xiao, Qianqian Wang*, Shangzhan Zhang, Nan Xue, Sida Peng, Yujun Shen, Xiaowei Zhou CVPR, 2024 (highlight*) project page / arXiv / code
	Emergent Correspondence from Image Diffusion Luming Tang, Menglin Jia, Qianqian Wang, Cheng Perng Phoo, Bharath Hariharan NeurIPS*, 2023 project page / arXiv / code
	Tracking Everything Everywhere All at Once Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely ICCV, 2023 (Best Student Paper Award) project page / arXiv / code
	Doppelgangers: Learning to Disambiguate Images of Similar Structures Ruojin Cai, Joseph Tung, Qianqian Wang, Hadar Averbuch-Elor, Bharath Hariharan, Noah Snavely ICCV, 2023 (Oral) project page / arXiv / code / data
	DynIBaR: Neural Dynamic Image-Based Rendering Zhengqi Li, Qianqian Wang, Forrester Cole, Richard Tucker, Noah Snavely CVPR, 2023 (Best Paper Honorable Mention) project page / arXiv / code
	Neural Scene Chronology Haotong Lin, Qianqian Wang, Ruojin Cai, Sida Peng, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely CVPR, 2023 project page / arXiv / code
	InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa ECCV, 2022 (Oral) project page / arXiv / code
	Neural 3D reconstruction in the wild Jiaming Sun, Xi Chen, Qianqian Wang, Zhengqi Li, Hadar Averbuch-Elor, Xiaowei Zhou, Noah Snavely SIGGRAPH (Conference Proceedings), 2022 project page / arXiv / code
	3D Moments from Near-Duplicate Photos Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless, Janne Kontkanen CVPR, 2022 project page / arXiv / code
	Neural 3D Scene Reconstruction with the Manhattan-world Assumption Haoyu Guo, Sida Peng, Haotong Lin, Qianqian Wang, Guofeng Zhang, Hujun Bao, Xiaowei Zhou CVPR, 2022 (Oral) project page / arXiv / code
	Neural Rays for Occlusion-aware Image-based Rendering Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang CVPR, 2022 project page / arXiv / code
	Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies Sida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Xiaowei Zhou, Hujun Bao ICCV, 2021 project page / arXiv / code
	IBRNet: Learning Multi-View Image-Based Rendering Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul Srinivasan, Howard Zhou, Jon Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas Funkhouser CVPR, 2021 project page / arXiv / code
	PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely CVPR, 2021 project page / arXiv / code
	Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, Xiaowei Zhou CVPR, 2022 (Best Paper Candidate) project page / arXiv / code
	Learning Feature Descriptors using Camera Pose Supervision Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely ECCV, 2020 (Oral) project page / arXiv / code
	Hidden Footprints: Learning Contextual Walkability from 3d Human Trails Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely ECCV, 2020 project page / arXiv / code
	Multi-Image Semantic Matching by Mining Consistent Features Qianqian Wang, Xiaowei Zhou, Kostas Daniilidis CVPR, 2018 arXiv / code