Zach Salehe

I'm a second-year computer science PhD student at Harvard advised by Todd Zickler.

Before Harvard, I did my undergrad in computer science at the University of Toronto, where my research was advised by Kyros Kutulakos and David Lindell.

Email  /  CV

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Research

I'm broadly interested in computational imaging, computer vision, and computer graphics. My current research focuses on inverse rendering for non-line-of-sight reconstruction.

A Foundation Model for Soccer
Ethan Baron*, Daniel Hocevar*, Zach Salehe*
arXiv, 2024
arXiv / code

We use a transformer decoder architecture to develop a foundation model for soccer actions, capable of predicting the next action following from a given input sequence.

Develping a Simulation Pipeline for Next-Generation Computational Cameras
Zach Salehe, Rahul Gulve, Esther Y. H. Lin, David B. Lindell, Kiriakos N. Kutulakos
2023
code

We provide a simulation pipeline in order to accurately model the T6, a next-generation computational camera developed by the University of Toronto.


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