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Going Deep and Blind with Internal Statistics

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Self-Supervised Natural Image Reconstruction and Rich Semantic Classification from Brain Activity

Author(s): Guy Gaziv; Roman Beliy; Niv Granot; Assaf Hoogi; Francesca Strappini; Tal Golan; Michal Irani
Published in: NeuroImage, Issue 4, 2022, ISSN 1053-8119
Publisher: Academic Press
DOI: 10.1101/2020.09.06.284794

Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks

Author(s): Shany Grossman, Guy Gaziv, Erin M. Yeagle, Michal Harel, Pierre Mégevand, David M. Groppe, Simon Khuvis, Jose L. Herrero, Michal Irani, Ashesh D. Mehta, Rafael Malach
Published in: Nature Communications, Issue 10/1, 2019, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.1038/s41467-019-12623-6

Diverse generation from a single video made possible

Author(s): N Haim, B Feinstein, N Granot, A Shocher, S Bagon, T Dekel, M Irani
Published in: European Conference on Computer Vision (ECCV), 2022
Publisher: Springer
DOI: 10.1007/978-3-031-19790-1_30

Reconstructing Training Data from Trained Neural Networks

Author(s): Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani
Published in: Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
Publisher: MIT Press

SinFusion: Training Diffusion Models on a Single Image or Video

Author(s): Nikankin, Yaniv; Haim, Niv; Irani, Michal
Published in: International Conference on Machine Learning (ICML) 2023, Issue 8, 2023
Publisher: PMLR
DOI: 10.48550/arxiv.2211.11743

Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses

Author(s): Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani
Published in: 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
Publisher: MIT Press
DOI: 10.48550/arxiv.2307.01827

Combining Internal and External Constraints for Unrolling Shutter in Videos

Author(s): Naor, Eyal; Antebi, Itai; Bagon, Shai; Irani, Michal
Published in: European Conference on Computer Vision – ECCV 2022, 2022
Publisher: Springer
DOI: 10.1007/978-3-031-19790-1_8

Reconstructing Training Data from Multiclass Neural Networks

Author(s): Buzaglo, Gon; Haim, Niv; Yehudai, Gilad; Vardi, Gal; Irani, Michal
Published in: Workshop on the pitfalls of limited data and computation for Trustworthy ML, ICLR 2023, Issue 9, 2023
Publisher: ICLR
DOI: 10.48550/arxiv.2305.03350

From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI

Author(s): Roman Beliy, Guy Gaziv, Assaf Hoogi, Fracesca Strappini, Tal Golan, Michal Irani
Published in: Conference on Neural Information Processing Systems (NeurIPS), 2019
Publisher: The Neural Information Processing Systems Foundation

"""Double-DIP"": Unsupervised Image Decomposition via Coupled Deep-Image-Priors"

Author(s): Yosef Gandelsman, Assaf Shocher, Michal Irani
Published in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Publisher: IEEE

“KernelGAN”: Blind Super-Resolution Kernel Estimation using an Internal-GAN

Author(s): Sefi Bell-Kligler, Assaf Shocher, Michal Irani
Published in: Conference on Neural Information Processing Systems (NeurIPS), 2019
Publisher: The Neural Information Processing Systems Foundation

"InGAN: Capturing and Remapping the ""DNA"" of a Natural Image"

Author(s): Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani
Published in: International Conference on Computer Vision (ICCV), 2019
Publisher: IEEE

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models

Author(s): Niv Granot, Ben Feinstein, Assaf Shocher, Shai Bagon, Michal Irani
Published in: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Publisher: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Across Scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning

Author(s): Liad Pollak Zuckerman, Eyal Naor, George Pisha, Shai Bagon, Michal Irani
Published in: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VII, Issue 12352, 2020, Page(s) 52-68, ISBN 978-3-030-58570-9
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-58571-6_4

From discrete to continuous convolution layers

Author(s): Assaf Shocher, Ben Feinstein, Niv Haim, Michal Irani
Published in: 2020
Publisher: arXiv (Cornell Tech)

A Penny for Your (visual) Thoughts: Self-Supervised Reconstruction of Natural Movies from Brain Activity

Author(s): Kupershmidt, Ganit; Beliy, Roman; Gaziv, Guy; Irani, Michal
Published in: Issue 6, 2022
Publisher: arXiv (Cornell Tech)
DOI: 10.48550/arxiv.2206.03544

More Than Meets the Eye: Self-Supervised Depth Reconstruction From Brain Activity

Author(s): Gaziv, Guy; Irani, Michal
Published in: 2021
Publisher: Cornell University
DOI: 10.48550/arxiv.2106.05113

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