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 zhenwang@ucla.edu.

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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.

clean-usnob 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.
clean-usnob 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.

clean-usnob 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.

clean-usnob 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
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.