I lead the computational imaging team at Vayu Robotics, where we aim to use novel imaging techniques and apparatus to improve the perception of autonomous vehicles.
Before Vayu, I was a senior research scientist and tech lead manager at SenseBrain Technology, where I worked with Jinwei Gu building an R&D team to solve challenging but exciting problem of computational photography on smartphones. Thanks to my excellent colleagues and interns, we are able to devise the state-of-the-art methods and datasets for under-display camera diffraction mitigation, time-of-flight 3D transient imaging, neural image compression, HDR night photography, and ISP pipeline for next-gen imaging sensors.
I obtained my Ph.D. degree from Rice University in 2019, supervised by Ashok Veeraraghaven, where my works are among the first to leverage deep learning alongside physics-based models to solve computational imaging problems. I received my B.S. in Imaging Science (Magna Cum Laude) from RIT in 2013.
|Apr 2, 2023||I will co-host the CVPR 2023 Tutorial on Polarization-based Computer Vision.|
|Feb 28, 2023||Check out the lastest 3D sensing results from computational imaging @ Vayu here!|
|Feb 28, 2023||Two papers, “TransFlow: Transformer as Flow Learner” and “Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera”, were accepted at CVPR 2023.|
|Oct 10, 2022||I’m looking for a research intern to work on polarization imaging for 🤖🚗. Please apply here if interested!|