| "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 | 341 | 2019 |
| Deep vit features as dense visual descriptors S Amir, Y Gandelsman, S Bagon, T Dekel arXiv preprint arXiv:2112.05814 2 (3), 4, 2021 | 203 | 2021 |
| 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 | 142 | 2022 |
| 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 | 141 | 2021 |
| Test-time training with masked autoencoders Y Gandelsman, Y Sun, X Chen, A Efros Advances in Neural Information Processing Systems 35, 29374-29385, 2022 | 115 | 2022 |
| 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 | 71 | 2022 |
| 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 | 60 | 2020 |
| Interpreting CLIP's Image Representation via Text-Based Decomposition Y Gandelsman, AA Efros, J Steinhardt arXiv preprint arXiv:2310.05916, 2023 | 21 | 2023 |
| 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 | 21 | 2019 |
| 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 | 17 | 2022 |
| 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 | 9 | 2023 |
| Test-time training on video streams R Wang, Y Sun, Y Gandelsman, X Chen, AA Efros, X Wang arXiv preprint arXiv:2307.05014, 2023 | 7 | 2023 |
| 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 | 6 | 2022 |
| Idempotent generative network A Shocher, A Dravid, Y Gandelsman, I Mosseri, M Rubinstein, AA Efros arXiv preprint arXiv:2311.01462, 2023 | 5 | 2023 |
| 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 | 1 | 2023 |
| 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 | 1 | 2023 |
| Deep Saliency Prior K Aberman, DE Jacobs, KJ Kohlhoff, M Rubinstein, Y Gandelsman, J He, ... US Patent App. 17/856,370, 2023 | 1 | 2023 |
| Interpreting the Weight Space of Customized Diffusion Models A Dravid*, Y Gandelsman*, KC Wang, R Abdal, G Wetzstein, AA Efros, ... arXiv preprint arXiv:2406.09413, 2024 | | 2024 |
| Interpreting the Second-Order Effects of Neurons in CLIP Y Gandelsman, AA Efros, J Steinhardt arXiv preprint arXiv:2406.04341, 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 |
Alexei A. EfrosUC BerkeleyVerified email at eecs.berkeley.edu
