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2020 – today
- 2024
[c11]Noa Cohen, Hila Manor, Yuval Bahat, Tomer Michaeli:
From Posterior Sampling to Meaningful Diversity in Image Restoration. ICLR 2024- 2023
- [c10]Gene Chou, Yuval Bahat, Felix Heide:
Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions. ICCV 2023: 2262-2272 - [c9]Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller:
Kissing to Find a Match: Efficient Low-Rank Permutation Representation. NeurIPS 2023 - [i10]Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell, Felix Heide, Michael Möller:
Kissing to Find a Match: Efficient Low-Rank Permutation Representation. CoRR abs/2308.13252 (2023) - [i9]Noa Cohen, Hila Manor
, Yuval Bahat, Tomer Michaeli:
From Posterior Sampling to Meaningful Diversity in Image Restoration. CoRR abs/2310.16047 (2023) - 2022
- [j2]Zheng Shi, Yuval Bahat, Seung-Hwan Baek, Qiang Fu, Hadi Amata, Xiao Li, Praneeth Chakravarthula, Wolfgang Heidrich, Felix Heide:
Seeing through obstructions with diffractive cloaking. ACM Trans. Graph. 41(4): 37:1-37:15 (2022) - [c8]Hannah Dröge, Yuval Bahat, Felix Heide, Michael Moeller:
Explorable Data Consistent CT Reconstruction. BMVC 2022: 746 - [c7]Julian Ost, Issam Laradji, Alejandro Newell, Yuval Bahat, Felix Heide:
Neural Point Light Fields. CVPR 2022: 18398-18408 - [c6]Bassel Hamoud, Yuval Bahat, Tomer Michaeli:
Beyond Local Processing: Adapting CNNs for CT Reconstruction. ECCV Workshops (3) 2022: 513-526 - [i8]Gene Chou, Yuval Bahat, Felix Heide:
DiffusionSDF: Conditional Generative Modeling of Signed Distance Functions. CoRR abs/2211.13757 (2022) - [i7]Yuval Bahat, Yuxuan Zhang, Hendrik Sommerhoff, Andreas Kolb, Felix Heide:
Neural Volume Super-Resolution. CoRR abs/2212.04666 (2022) - 2021
- [c5]Yuval Bahat, Tomer Michaeli:
What's in the Image? Explorable Decoding of Compressed Images. CVPR 2021: 2908-2917 - [c4]Idan Kligvasser, Tamar Rott Shaham, Yuval Bahat, Tomer Michaeli:
Deep Self-Dissimilarities as Powerful Visual Fingerprints. NeurIPS 2021: 3939-3951 - [i6]Julian Ost, Issam Laradji, Alejandro Newell, Yuval Bahat, Felix Heide:
Neural Point Light Fields. CoRR abs/2112.01473 (2021) - 2020
- [c3]Yuval Bahat, Tomer Michaeli:
Explorable Super Resolution. CVPR 2020: 2713-2722 - [i5]Yuval Bahat, Tomer Michaeli:
Explorable Decoding of Compressed Images. CoRR abs/2006.09332 (2020) - [i4]Yuval Bahat, Gregory Shakhnarovich:
Classification Confidence Estimation with Test-Time Data-Augmentation. CoRR abs/2006.16705 (2020)
2010 – 2019
- 2019
- [i3]Yuval Bahat, Michal Irani, Gregory Shakhnarovich:
Natural and Adversarial Error Detection using Invariance to Image Transformations. CoRR abs/1902.00236 (2019) - [i2]Yuval Bahat, Tomer Michaeli:
Explorable Super Resolution. CoRR abs/1912.01839 (2019) - 2018
- [i1]Yuval Bahat, Gregory Shakhnarovich:
Confidence from Invariance to Image Transformations. CoRR abs/1804.00657 (2018) - 2017
- [c2]Yuval Bahat, Netalee Efrat, Michal Irani:
Non-uniform Blind Deblurring by Reblurring. ICCV 2017: 3306-3314 - 2016
- [c1]Yuval Bahat, Michal Irani:
Blind dehazing using internal patch recurrence. ICCP 2016: 1-9 - 2015
- [j1]Yuval Bahat, Yoav Y. Schechner, Michael Elad:
Self-content-based audio inpainting. Signal Process. 111: 61-72 (2015)
Coauthor Index
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