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Aviad Aberdam
Aviad Aberdam
PhD Student, EE Department, Technion
Verified email at campus.technion.ac.il - Homepage
Title
Cited by
Cited by
Year
Sequence-to-sequence contrastive learning for text recognition
A Aberdam, R Litman, S Tsiper, O Anschel, R Slossberg, S Mazor, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1182021
On multi-layer basis pursuit, efficient algorithms and convolutional neural networks
J Sulam, A Aberdam, A Beck, M Elad
IEEE transactions on pattern analysis and machine intelligence 42 (8), 1968-1980, 2019
1042019
Ada-lista: Learned solvers adaptive to varying models
A Aberdam, A Golts, M Elad
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9222 …, 2021
362021
Multi-Layer Sparse Coding: The Holistic Way
A Aberdam, J Sulam, M Elad
SIAM Journal on Mathematics of Data Science, 2019, 2018
352018
Adversarial noise attacks of deep learning architectures: Stability analysis via sparse-modeled signals
Y Romano, A Aberdam, J Sulam, M Elad
Journal of Mathematical Imaging and Vision 62, 313-327, 2020
252020
Barycenters of natural images constrained wasserstein barycenters for image morphing
D Simon, A Aberdam
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
232020
Multimodal semi-supervised learning for text recognition
A Aberdam, R Ganz, S Mazor, R Litman
arXiv preprint arXiv:2205.03873, 2022
212022
Out-of-vocabulary challenge report
S Garcia-Bordils, A Mafla, AF Biten, O Nuriel, A Aberdam, S Mazor, ...
European Conference on Computer Vision, 359-375, 2022
172022
When and how can deep generative models be inverted?
A Aberdam, D Simon, M Elad
arXiv preprint arXiv:2006.15555, 2020
132020
Another step toward demystifying deep neural networks
M Elad, D Simon, A Aberdam
Proceedings of the National Academy of Sciences 117 (44), 27070-27072, 2020
122020
Clipter: Looking at the bigger picture in scene text recognition
A Aberdam, D Bensaīd, A Golts, R Ganz, O Nuriel, R Tichauer, S Mazor, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
102023
On calibration of scene-text recognition models
R Slossberg, O Anschel, A Markovitz, R Litman, A Aberdam, S Tsiper, ...
European Conference on Computer Vision, 263-279, 2022
102022
Towards models that can see and read
R Ganz, O Nuriel, A Aberdam, Y Kittenplon, S Mazor, R Litman
Proceedings of the IEEE/CVF international conference on computer vision …, 2023
92023
An accelerated coordinate gradient descent algorithm for non-separable composite optimization
A Aberdam, A Beck
Journal of Optimization Theory and Applications 193 (1), 219-246, 2022
72022
Question aware vision transformer for multimodal reasoning
R Ganz, Y Kittenplon, A Aberdam, E Ben Avraham, O Nuriel, S Mazor, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
GRAM: Global Reasoning for Multi-Page VQA
T Blau, S Fogel, R Ronen, A Golts, R Ganz, E Ben Avraham, A Aberdam, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
Deep-Learning-Based Classification of Cyclic-Alternating-Pattern Sleep Phases
Y Kahana, A Aberdam, A Amar, I Cohen
Entropy 25 (10), 1395, 2023
12023
Deep Learning as Sparsity-Enforcing Algorithms
A Aberdam, J Sulam
Mathematical Aspects of Deep Learning, 314, 2022
2022
2020 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 42
A Aberdam, J Achterhold, JK Adams, E Adeli, S Agaian, K Aizawa, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (1), 2021
2021
On the Inversion of Deep Generative Models
A Aberdam, D Simon, M Elad
2020
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Articles 1–20