sagiebenaim
Assistant Professor (Senior Lecturer) at the School of Computer Science and Engineering at the Hebrew University of Jerusalem.
Hebrew University
Pinned Repositories
awesome-nerf-editing
🧙🏻♂️A list of papers curated for you to dive into the awesome Neural Fields Editing approaches.
awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
belongielab.github.io
Lab Website
CarND-Traffic-Sign-Classifier-Project
Classify Traffic Signs.
cayman
Cayman is a Jekyll theme for GitHub Pages
DistanceGAN
Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
DomainIntersectionDifference
Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)
gan_bound
Pytorch implementation of "Estimating the Success of Unsupervised Image to Image Translation" ECCV 2018
OneShotTranslation
Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
Singing
sagiebenaim's Repositories
sagiebenaim/DistanceGAN
Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
sagiebenaim/OneShotTranslation
Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
sagiebenaim/DomainIntersectionDifference
Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)
sagiebenaim/Singing
sagiebenaim/gan_bound
Pytorch implementation of "Estimating the Success of Unsupervised Image to Image Translation" ECCV 2018
sagiebenaim/awesome-nerf-editing
🧙🏻♂️A list of papers curated for you to dive into the awesome Neural Fields Editing approaches.
sagiebenaim/awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
sagiebenaim/belongielab.github.io
Lab Website
sagiebenaim/CarND-Traffic-Sign-Classifier-Project
Classify Traffic Signs.
sagiebenaim/cayman
Cayman is a Jekyll theme for GitHub Pages
sagiebenaim/DiscoGAN
Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
sagiebenaim/foolbox
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
sagiebenaim/improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
sagiebenaim/mnist-svhn-transfer
PyTorch Implementation of CycleGAN and SGAN for Domain Transfer (Minimal)
sagiebenaim/obfuscated-gradients
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
sagiebenaim/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
sagiebenaim/pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation
sagiebenaim/sagiebenaim.github.io
sagiebenaim/structural-analogy
Structural-analogy from a Single Image Pair
sagiebenaim/structural-analogy-1
Pytorch implementation for the paper "Structural-analogy from a Single Image Pair"