Yuval Bahat

According to our database, Yuval Bahat authored at least 20 papers between 2015 and 2024.

Collaborative distances:

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

2024

From Posterior Sampling to Meaningful Diversity in Image Restoration.

Noa Cohen, Hila Manor, Yuval Bahat, Tomer Michaeli

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Kissing to Find a Match: Efficient Low-Rank Permutation Representation.

Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell, Felix Heide, Michael Möller

CoRR, 2023

Kissing to Find a Match: Efficient Low-Rank Permutation Representation.

Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions.

Gene Chou, Yuval Bahat, Felix Heide

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

2022

Seeing through obstructions with diffractive cloaking.

Zheng Shi, Yuval Bahat, Seung-Hwan Baek, Qiang Fu, Hadi Amata, Xiao Li, Praneeth Chakravarthula, Wolfgang Heidrich, Felix Heide

ACM Trans. Graph., 2022

Neural Volume Super-Resolution.

Yuval Bahat, Yuxuan Zhang, Hendrik Sommerhoff, Andreas Kolb, Felix Heide

CoRR, 2022

DiffusionSDF: Conditional Generative Modeling of Signed Distance Functions.

Gene Chou, Yuval Bahat, Felix Heide

CoRR, 2022

Beyond Local Processing: Adapting CNNs for CT Reconstruction.

Bassel Hamoud, Yuval Bahat, Tomer Michaeli

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Neural Point Light Fields.

Julian Ost, Issam Laradji, Alejandro Newell, Yuval Bahat, Felix Heide

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

Explorable Data Consistent CT Reconstruction.

Hannah Dröge, Yuval Bahat, Felix Heide, Michael Moeller

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Deep Self-Dissimilarities as Powerful Visual Fingerprints.

Idan Kligvasser, Tamar Rott Shaham, Yuval Bahat, Tomer Michaeli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

What's in the Image? Explorable Decoding of Compressed Images.

Yuval Bahat, Tomer Michaeli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Classification Confidence Estimation with Test-Time Data-Augmentation.

Yuval Bahat, Gregory Shakhnarovich

CoRR, 2020

Explorable Decoding of Compressed Images.

Yuval Bahat, Tomer Michaeli

CoRR, 2020

Explorable Super Resolution.

Yuval Bahat, Tomer Michaeli

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

2019

Natural and Adversarial Error Detection using Invariance to Image Transformations.

Yuval Bahat, Michal Irani, Gregory Shakhnarovich

CoRR, 2019

2018

Confidence from Invariance to Image Transformations.

Yuval Bahat, Gregory Shakhnarovich

CoRR, 2018

2017

Non-uniform Blind Deblurring by Reblurring.

Yuval Bahat, Netalee Efrat, Michal Irani

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Blind dehazing using internal patch recurrence.

Yuval Bahat, Michal Irani

Proceedings of the 2016 IEEE International Conference on Computational Photography, 2016

2015

Self-content-based audio inpainting.

Yuval Bahat, Yoav Y. Schechner, Michael Elad

Signal Process., 2015