Orr Zohar

Stanford, California
I am a PhD student in Machine Learning at Stanford University, advised by Serena Yeung and funded by a Knight-Hennessy Scholarship.
I am interested in developing novel machine learning methods that enable the evaluation of actions in video, and their possible applications to surgical procedures. I am particularly interested in open world learning, foundational multimodal models and their potential real-world impact. I then use the methods I develop either for post-surgical AI-driven surgical analytics or AI-assisted surgery.
Before starting my PhD, I was studying towards a Masters of Electrical Engineering at the Technion ECE department, with a focus on Machine Learning and Image Processing. I have a diverse research background, and have been fortunate to collaborate with several talented researcher - spanning from Soft Electronics at LNBD, ultrafast superconductor-based single photon detectors at QUAD, to OCT-based medical imaging at the de la Zerda laboratory.
news
Mar 13, 2023 | Look out for my new paper “LOVM: Language-Only Vision Model Selection”, out on arXiv soon! |
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Mar 9, 2023 | My paper “PROB: Probabilistic Objectness for Open World Object Detection” was accepted to CVPR 2023! |
May 1, 2021 | Awarded the Knight-Hennessy Scholarship, headed to Stanford University! |