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Yossi Gandelsman
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2020 – today
- 2024
- [c12]Xinyang Han, Zelin Gao, Angjoo Kanazawa, Shubham Goel, Yossi Gandelsman:
The More You See in 2D, the More You Perceive in 3D. CVPR 2024: 20912-20922 - [c11]Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt:
Interpreting CLIP's Image Representation via Text-Based Decomposition. ICLR 2024 - [c10]Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros:
Idempotent Generative Network. ICLR 2024 - [i21]Boyi Li, Jathushan Rajasegaran, Yossi Gandelsman, Alexei A. Efros, Jitendra Malik:
Synthesizing Moving People with 3D Control. CoRR abs/2401.10889 (2024) - [i20]Xinyang Han, Zelin Gao, Angjoo Kanazawa, Shubham Goel, Yossi Gandelsman:
The More You See in 2D, the More You Perceive in 3D. CoRR abs/2404.03652 (2024) - [i19]Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt:
Interpreting the Second-Order Effects of Neurons in CLIP. CoRR abs/2406.04341 (2024) - [i18]Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman:
Interpreting the Weight Space of Customized Diffusion Models. CoRR abs/2406.09413 (2024) - [i17]Avinash Madasu, Yossi Gandelsman, Vasudev Lal, Phillip Howard:
Quantifying and Enabling the Interpretability of CLIP-like Models. CoRR abs/2409.06579 (2024) - [i16]Nick Jiang, Anish Kachinthaya, Suzie Petryk, Yossi Gandelsman:
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations. CoRR abs/2410.02762 (2024) - [i15]Xueyang Yu, Xinlei Chen, Yossi Gandelsman:
Learning Video Representations without Natural Videos. CoRR abs/2410.24213 (2024) - 2023
- [c9]Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher:
Rosetta Neurons: Mining the Common Units in a Model Zoo. ICCV 2023: 1934-1943 - [i14]Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher:
Rosetta Neurons: Mining the Common Units in a Model Zoo. CoRR abs/2306.09346 (2023) - [i13]Renhao Wang, Yu Sun, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang:
Test-Time Training on Video Streams. CoRR abs/2307.05014 (2023) - [i12]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:
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining. CoRR abs/2309.17123 (2023) - [i11]Yossi Gandelsman, Alexei A. Efros, Jacob Steinhardt:
Interpreting CLIP's Image Representation via Text-Based Decomposition. CoRR abs/2310.05916 (2023) - [i10]Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros:
Idempotent Generative Network. CoRR abs/2311.01462 (2023) - [i9]Jiarui Xu, Yossi Gandelsman, Amir Bar, Jianwei Yang, Jianfeng Gao, Trevor Darrell, Xiaolong Wang:
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks. CoRR abs/2312.01771 (2023) - 2022
- [j1]Yotam Nitzan, Kfir Aberman, Qiurui He, Orly Liba, Michal Yarom
MyStyle: A Personalized Generative Prior. ACM Trans. Graph. 41(6): 206:1-206:10 (2022) - [c8]Kfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch, Michael Rubinstein:
Deep Saliency Prior for Reducing Visual Distraction. CVPR 2022: 19819-19828 - [c7]Shir Amir, Yossi Gandelsman, Shai Bagon, Tali Dekel:
On the Effectiveness of ViT Features as Local Semantic Descriptors. ECCV Workshops (4) 2022: 39-55 - [c6]Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros:
Visual Prompting via Image Inpainting. NeurIPS 2022 - [c5]Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros:
Test-Time Training with Masked Autoencoders. NeurIPS 2022 - [c4]Yotam Nitzan, Kfir Aberman, Orly Liba, Qiurui He, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, Daniel Cohen-Or:
Learning A Personalized Generative Prior For Face Images. SIGGRAPH Posters 2022: 53:1-53:2 - [i8]Yotam Nitzan, Kfir Aberman, Qiurui He, Orly Liba, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch, Daniel Cohen-Or:
MyStyle: A Personalized Generative Prior. CoRR abs/2203.17272 (2022) - [i7]Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei A. Efros:
Visual Prompting via Image Inpainting. CoRR abs/2209.00647 (2022) - [i6]Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros:
Test-Time Training with Masked Autoencoders. CoRR abs/2209.07522 (2022) - 2021
- [c3]Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri:
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. ICCV 2021: 673-682 - [i5]Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri:
Explaining in Style: Training a GAN to explain a classifier in StyleSpace. CoRR abs/2104.13369 (2021) - [i4]Kfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch, Michael Rubinstein:
Deep Saliency Prior for Reducing Visual Distraction. CoRR abs/2109.01980 (2021) - [i3]Shir Amir, Yossi Gandelsman, Shai Bagon, Tali Dekel:
Deep ViT Features as Dense Visual Descriptors. CoRR abs/2112.05814 (2021) - 2020
- [c2]Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel:
Semantic Pyramid for Image Generation. CVPR 2020: 7455-7464 - [i2]Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel:
Semantic Pyramid for Image Generation. CoRR abs/2003.06221 (2020)
2010 – 2019
- 2019
- [c1]Yossi Gandelsman, Assaf Shocher, Michal Irani:
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. CVPR 2019: 11026-11035 - 2018
- [i1]Yossi Gandelsman, Assaf Shocher, Michal Irani:
"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors. CoRR abs/1812.00467 (2018)
Coauthor Index
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last updated on 2024-12-01 01:12 CET by the dblp team
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