About
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.
News
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
Jul 2023 Paper about score-based priors accepted to ICCV 2023
Jun 2022 Selected as a Best Paper Finalist at CVPR 2022!
Mar 2022 Visual Vibration Tomography accepted to CVPR 2022 as an Oral
May 2021 Awarded the Best Poster Award at ICCP 2021 for Visual Vibration Tomography!
Mar 2020 Awarded the NSF Graduate Research Fellowship!
Oct 2019 Excited to start my PhD at Caltech, advised by Prof. Katie Bouman!
LessPublications
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
ICASSP 2019
PDF Code
