Bio

I am a PhD student advised by Prof. William T. Freeman and Prof. Frédo Durand at the MIT Computer Science & Artificial Intelligence Laboratory. My research is focused on scene understanding based on the physical properties of objects using visual media. Previously, I have worked on non-line-of-sight imaging and generative models for computational photography. I enjoy playing guitar, photography, and reading books on psychology and neuroscience.

Publications

Materialistic: Selecting Similar Materials in Images

SIGGRAPH 2023, ToG

Prafull Sharma, Julien Philip, Michael Gharbi, William T. Freeman, Fredo Durand, Valentin Deschaintre

[Paper] [Project Page]

Neural Groundplans: Persistent Neural Scene Representations from a Single Image

ICLR 2023

Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Fredo Durand, Joshua B. Tenenbaum, Vincent Sitzmann

[Paper] [Project Page]
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What You Can Learn by Staring at a Blank Wall

ICCV 2021, Oral presentation

Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand

[Paper] [Project Page]
...

Self-supervised Speckle Reduction GAN for Synthetic Aperture Radar

IEEE Radar Conference 2021

Michael Newey, Prafull Sharma

[Paper]
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Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization

NeurIPS 2019

Miika Aittala, Prafull Sharma, Lukas Murmann, Adam Yedidia, Gregory Wornell, William T. Freeman, and Frédo Durand

[Paper] [Project Page]
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On the Importance of Label Quality for Semantic Segmentation

CVPR 2018

Aleksandar Zlateski *, Ronnachai Jaroensri *, Prafull Sharma, Frédo Durand

[Paper]
...

K-means++ vs. Behavioral Biometrics: One Loop to Rule Them All.

NDSS 2018

Parimarjan Negi, Prafull Sharma, Vivek Jain, Bahman Bahmani

[Paper]