Sagie Benaim

Assistant Professor at The Hebrew University of Jerusalem

Tel-Aviv District, Israel
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Summary

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Senior
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Sagie Benaim is an Assistant Professor (Senior Lecturer) at the Hebrew University of Jerusalem with nine years of experience bridging academic research and applied machine learning. Trained at Imperial, Oxford, and Tel Aviv University (PhD), he focuses on computer vision, generative models, neural signal representations, and inverse graphics, exploring how disentangled representations can reveal structure in visual data. His trajectory includes a DIKU postdoc with Serge Belongie, a Google research internship that produced CVPR work on self-supervised video representations, and recent affiliation as an Amazon Scholar, reflecting a blend of deep research and industry collaboration. He has taught convolutional neural networks repeatedly at Tel Aviv University, demonstrating a commitment to education alongside research. Colleagues describe him as a researcher who combines mathematical rigor with practical systems thinking, often turning theoretical insight into reproducible models and code.
code9 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Tel Aviv University
bookMaster’s Degree Mathematics and the Foundations of Computer Science, Master’s Degree Mathematics and the Foundations of Computer Science at University of Oxford
bookBachelor’s Degree Mathematics and Computer Science, Bachelor’s Degree Mathematics and Computer Science at Imperial College London
languagesEnglish, Hebrew, French
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Github Skills (16)

generative-model10
computer-vision10
unsupervised-learning10
image-manipulation10
dcgan10
generative-adversarial-network10
computer-graphics9
transfer-learning9
image-translation9
deep-learning9
image-generation9
pytorch9
paper8
editing6
jekyll4

Programming languages (3)

SCSSLuaPython

Github contributions (5)

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sagiebenaim/DistanceGAN

Jun 2017 - Apr 2019

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
Contributions:22 commits, 1 PR, 21 pushes in 1 year 10 months
pytorchganunsupervised-learningimage-generationcomputer-vision
Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
Contributions:17 commits, 11 pushes, 4 comments in 9 months
pytorchganunsupervised-learningoneshotimage-generation
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