Hello! I'm a fourth-year PhD student at Caltech working with Prof. Katie Bouman in the Computing & Mathematical Sciences Department. Previously, I graduated from Princeton University summa cum laude, with a major in Computer Science and minor in Statistics & Machine Learning. I'm interested in computational imaging, in particular incorporating sophisticated priors into ill-posed inverse problems.


Aug 2023 Excited to co-organize the Quo Vadis, Computer Vision? workshop at ICCV 2023 with Prof. Georgia Gkioxari!

Jul 2023 Excited to speak at the Astro + Imaging Workshop at Northwestern, organized by Profs. Emma Alexander and Jason Wang!

Jul 2023 Presented a Spotlight poster at ICCP 2023



Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior

Berthy T. Feng, Katherine L. Bouman

arXiv (preprint) 2023

Webpage arXiv Code

Score-Based Diffusion Models as Principled Priors for Inverse Imaging

Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman

ICCV 2023

Webpage arXiv Code

Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video

Berthy T. Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman

CVPR 2022

Oral, Best Paper Finalist (top 1.6% of accepted papers)

Webpage arXiv Code

Towards Unique and Informative Captioning of Images

Zeyu Wang, Berthy T. Feng, Karthik Narasimhan, Olga Russakovsky

ECCV 2020

PDF Code

Learning Bandwidth Expansion Using Perceptually-Motivated Loss

Berthy T. Feng, Zeyu Jin, Jiaqi Su, Adam Finkelstein


PDF Code