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Yossi Gandelsman
Yossi Gandelsman
UC Berkeley
Verified email at gandelsman.com - Homepage
Title
Cited by
Cited by
Year
"double-dip": Unsupervised image decomposition via coupled deep-image-priors
Y Gandelsman, A Shocher, M Irani
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3192019
Deep vit features as dense visual descriptors
S Amir, Y Gandelsman, S Bagon, T Dekel
arXiv preprint arXiv:2112.05814 2 (3), 4, 2021
1692021
Explaining in style: Training a gan to explain a classifier in stylespace
O Lang*, Y Gandelsman*, M Yarom*, Y Wald*, G Elidan, A Hassidim, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision, 693-702, 2021
1362021
Visual prompting via image inpainting
A Bar*, Y Gandelsman*, T Darrell, A Globerson, A Efros
Advances in Neural Information Processing Systems 35, 25005-25017, 2022
1192022
Test-time training with masked autoencoders
Y Gandelsman, Y Sun, X Chen, A Efros
Advances in Neural Information Processing Systems 35, 29374-29385, 2022
882022
Mystyle: A personalized generative prior
Y Nitzan, K Aberman, Q He, O Liba, M Yarom, Y Gandelsman, I Mosseri, ...
ACM Transactions on Graphics (TOG) 41 (6), 1-10, 2022
672022
Semantic pyramid for image generation
A Shocher*, Y Gandelsman*, I Mosseri, M Yarom, M Irani, WT Freeman, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
542020
“double-dip”: Unsupervised image decomposition via coupled deep-image-priors”, in 2019 IEEE
Y Gandelsman, A Shocher, M Irani
CVF Conference on Computer Vision and Pattern Recognition (CVPR) 11018, 11027, 2019
192019
Deep saliency prior for reducing visual distraction
K Aberman, J He, Y Gandelsman, I Mosseri, DE Jacobs, K Kohlhoff, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
162022
Interpreting CLIP's Image Representation via Text-Based Decomposition
Y Gandelsman, AA Efros, J Steinhardt
arXiv preprint arXiv:2310.05916, 2023
82023
On the effectiveness of vit features as local semantic descriptors
S Amir, Y Gandelsman, S Bagon, T Dekel
European Conference on Computer Vision, 39-55, 2022
42022
Test-time training on video streams
R Wang, Y Sun, Y Gandelsman, X Chen, AA Efros, X Wang
arXiv preprint arXiv:2307.05014, 2023
32023
Rosetta Neurons: Mining the Common Units in a Model Zoo
A Dravid*, Y Gandelsman*, AA Efros, A Shocher
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
32023
Idempotent generative network
A Shocher, A Dravid, Y Gandelsman, I Mosseri, M Rubinstein, AA Efros
arXiv preprint arXiv:2311.01462, 2023
22023
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks
J Xu, Y Gandelsman, A Bar, J Yang, J Gao, T Darrell, X Wang
arXiv preprint arXiv:2312.01771, 2023
12023
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining
T Han, L Žigutytė, L Huck, M Huppertz, R Siepmann, Y Gandelsman, ...
arXiv preprint arXiv:2309.17123, 2023
12023
The More You See in 2D, the More You Perceive in 3D
X Han, Z Gao, A Kanazawa, S Goel, Y Gandelsman
arXiv preprint arXiv:2404.03652, 2024
2024
Synthesizing Moving People with 3D Control
B Li, J Rajasegaran, Y Gandelsman, AA Efros, J Malik
arXiv preprint arXiv:2401.10889, 2024
2024
Facial image editing and enhancement using a personalized prior
K Aberman, Y Nitzan, O Liba, YP Knaan, Q He, I Mosseri, Y Gandelsman, ...
US Patent App. 18/334,700, 2023
2023
Facial image editing and enhancement using a personalized prior
K Aberman, Y Nitzan, O Liba, YP Knaan, Q He, I Mosseri, Y Gandelsman, ...
US Patent 11,721,007, 2023
2023
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