Yossi Gandelsman

I am a PhD student at Berkeley AI Research, advised by Prof. Alexei Efros, working on computer vision and machine learning problems.

Previously, I was a member of the Perception Team at Google Research.

I completed my M.Sc. at the faculty of Mathematics and Computer Science of the Weizmann Institute of Science under the supervision of Prof. Michal Irani.

Da Nang, Vietnam, 2019


  • [15/09/2022] Two papers were accepted at NeurIPS 2022.
  • [15/09/2022] Check out our new paper on test-time training with masked autoencoders.
  • [01/09/2022] Check out our new paper on visual prompting.
  • [01/04/2022] Check out our new paper on personalization of StyleGAN.


Test-Time Training with Masked Autoencoders

Visual Prompting via Image Inpainting

  • Amir Bar*, Yossi Gandelsman*, Trevor Darrell, Amir Globerson and Alexei A. Efros
  • NeurIPS 2022
  • paper | project page | code

MyStyle: A Personalized Generative Prior

  • Yotam Nitzan, Kfir Aberman, Qiurui He, Orly Liba, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch and Daniel Cohen-Or
  • SIGGRAPH Asia 2022 (journal track)
  • paper | project page | video

Deep ViT Features as Dense Visual Descriptors

Deep Saliency Prior for Reducing Visual Distraction

  • Kfir Aberman*, Junfeng He*, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch and Michael Rubinstein
  • CVPR 2022
  • paper | project page

Explaining in Style: Training a GAN to explain a classifier in StyleSpace

  • Oran Lang*, Yossi Gandelsman*, Michal Yarom*, Yoav Wald*, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani and Inbar Mosseri
  • ICCV 2021
  • paper | project page | code | video | blog post

Semantic Pyramid for Image Generation

  • Assaf Shocher*, Yossi Gandelsman*, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman and Tali Dekel
  • CVPR 2020 [Oral]
  • paper | project page | video

Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors