Yossi Gandelsman

According to our database, Yossi Gandelsman authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning Video Representations without Natural Videos.

Xueyang Yu, Xinlei Chen, Yossi Gandelsman

CoRR, 2024

Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations.

Nick Jiang, Anish Kachinthaya, Suzie Petryk, Yossi Gandelsman

CoRR, 2024

Quantifying and Enabling the Interpretability of CLIP-like Models.

Avinash Madasu, Yossi Gandelsman, Vasudev Lal, Phillip Howard

CoRR, 2024

Interpreting the Weight Space of Customized Diffusion Models.

Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman

CoRR, 2024

Interpreting the Second-Order Effects of Neurons in CLIP.

Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt

CoRR, 2024

Synthesizing Moving People with 3D Control.

Boyi Li, Jathushan Rajasegaran, Yossi Gandelsman, Alexei A. Efros, Jitendra Malik

CoRR, 2024

Idempotent Generative Network.

Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Interpreting CLIP's Image Representation via Text-Based Decomposition.

Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The More You See in 2D, the More You Perceive in 3D.

Xinyang Han, Zelin Gao, Angjoo Kanazawa, Shubham Goel, Yossi Gandelsman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks.

Jiarui Xu, Yossi Gandelsman, Amir Bar, Jianwei Yang, Jianfeng Gao, Trevor Darrell, Xiaolong Wang

CoRR, 2023

Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining.

Tianyu Han, Laura Zigutyte, Luisa Huck, Marc Huppertz, Robert Siepmann, Yossi Gandelsman, Christian Blüthgen, Firas Khader, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn

CoRR, 2023

Test-Time Training on Video Streams.

Renhao Wang, Yu Sun, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang

CoRR, 2023

Rosetta Neurons: Mining the Common Units in a Model Zoo.

Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

MyStyle: A Personalized Generative Prior.

Yotam Nitzan, Kfir Aberman, Qiurui He, Orly Liba, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, Daniel Cohen-Or

ACM Trans. Graph., 2022

Learning A Personalized Generative Prior For Face Images.

Yotam Nitzan, Kfir Aberman, Orly Liba, Qiurui He, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, Daniel Cohen-Or

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Posters, Vancouver BC Canada, August 7, 2022

Test-Time Training with Masked Autoencoders.

Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Visual Prompting via Image Inpainting.

Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Effectiveness of ViT Features as Local Semantic Descriptors.

Shir Amir, Yossi Gandelsman, Shai Bagon, Tali Dekel

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Deep Saliency Prior for Reducing Visual Distraction.

Kfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch, Michael Rubinstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep ViT Features as Dense Visual Descriptors.

Shir Amir, Yossi Gandelsman, Shai Bagon, Tali Dekel

CoRR, 2021

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, Inbar Mosseri

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Semantic Pyramid for Image Generation.

Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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

Yossi Gandelsman, Assaf Shocher, Michal Irani

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019