Zhen Wang

I am a Ph.D. student in the Electrical and Computer Engineering Department at University of California, Los Angeles. I am a member of the Visual Machines Group, where I am fortunate to be advised by Prof. Achuta Kadambi.

I obtained my Master's degree from Columbia University, where I worked with Prof. John Paisley and Prof. Liam Paninski.

Before that, I obtained my Bachelor's Degree at University of Electronic Science and Technology of China (UESTC). During my undergraduate, I also spent some time at Cornell University and LMU München.

Feel free to contact me at [email protected].

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News

Jun 2022: One paper on rPPG augmentation conditionally accepted in ICCP '22.

Jun 2022: Our lab is going to CVPR '22 in person. Come and say hello!

Mar 2022: One paper accepted in CVPR '22. Stay tuned!

Experience

Meta, Burlingame, CA
Research Scientist Intern, Jun. 2024 - Present

Google, Playa Vista, CA
Student Researcher, Sept. 2023 - Jun. 2024

Google, Mountain View, CA
Student Researcher, Jun. 2023 - Sept. 2023

Columbia | The Mortimer B. Zuckerman Mind Brain Behavior Institute , New York, NY
Research Staff Assistant, Sept. 2019 - Jun. 2020

Selected papers

In general, I'm interested in computer vision and its application in machine autonomy and digital health. I'm passionate about problems in capture (sensing and reconstruction) & synthesis (rendering) of the physical world to all the subtleties, ranging from indoor and natural outdoor scenes to human face and body.

	Dynamic 2D Gaussian Mesh: Temporally Consistent Surface Reconstruction from Monocular Videos Zhen Wang, Yuchen Fan, Wei Ye, Zhongxi Li, JQ Huang, Rakesh Ranjan, Achuta Kadambi, In submission, Project website Temporally consistent reconstruction from monocular videos enables various downstream tasks such as physcis-based simulation and editing.
	MVDD: Multi-View Depth Diffusion Models Zhen Wang, Qiangeng Xu, Feitong Tan, Menglei Chai, Shichen Liu, Rohit Pandey, Sean Fanello, Achuta Kadambi, Yinda Zhang, ECCV 2024, Project website Multi-view depths as a novel 3D representation for 3d shape generation, completion and regularization.
	ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas Guibas, Achuta Kadambi, CVPR 2023, Project website Rethinking latent topologies for fast and detailed implicit 3D reconstructions.
	Synthetic Generation of Face Videos with Plethysmograph Physiology Zhen Wang, Yunhao Ba, Pradyumna Chari, Oyku Deniz Bozkurt, Gianna Brown, Parth Patwa, Niranjan Vaddi, Laleh Jalilian, Achuta Kadambi, CVPR 2022, Project website A scalable biophysical neural rendering method to generate biorealistic synthetic rPPG videos given any reference image and target blood flow.
	Style Transfer with Bio-realistic Appearance Manipulation for Skin-tone Inclusive rPPG Yunhao Ba, Zhen Wang, Kerim Doruk Karinca, Oyku Deniz Bozkurt, Achuta Kadambi, ICCP 2022, Project website A first attempt that transfers light-skinned subjects to dark skin tones while preserving the pulse signals in the facial videos.

Talks

July 2023 (Mountain View, CA): Recent advances in 3d shape generation, Google AR reading group
August 2022 (Pasadena, CA): IEEE International Conference on Computational Photography (ICCP) 2022 | Video
April 2022 (Caltech): Synthetic Generation of Face Videos with Plethysmograph Physiology (Host: Prof. Katie Bouman)

Service

CVPR 2025, ICML 2025, ECCV 2024, CVPR 2024, ICLR 2024, AAAI 2024, NeurIPS 2023, ICCV 2023, Neural Fields @ ICLR 2023, CVPR 2023, APSIPA Transactions on Signal and Information Processing 2023 (Editor: Prof. C.-C. Jay Kuo), SDM 2021, AAAI 2021.

Thanks to Jon Barron for the source code of this website.