On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. - Jeremias Sulam; Aviad Aberdam; Michael Elad (CoRR, 2018)

Multi-Layer Sparse Coding: The Holistic Way. - Aviad Aberdam; Jeremias Sulam; Michael Elad (SIAM J. Math. Data Sci., 2019)

Barycenters of Natural Images - Constrained Wasserstein Barycenters for Image Morphing. - Dror Simon; Aviad Aberdam (CVPR, 2020)

When and How Can Deep Generative Models be Inverted? - Aviad Aberdam; Dror Simon; Michael Elad (CoRR, 2020)

Adversarial Noise Attacks of Deep Learning Architectures: Stability Analysis via Sparse-Modeled Signals. - Yaniv Romano; Aviad Aberdam; Jeremias Sulam; Michael Elad (J. Math. Imaging Vis., 2020)

On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks. - Jeremias Sulam; Aviad Aberdam; Amir Beck; Michael Elad (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Sequence-to-Sequence Contrastive Learning for Text Recognition. - Aviad Aberdam; Ron Litman; Shahar Tsiper; Oron Anschel; Ron Slossberg; Shai Mazor; R. Manmatha; Pietro Perona (CVPR, 2021)

Out-of-Vocabulary Challenge Report. - Sergi Garcia-Bordils; Andrés Mafla; Ali Furkan Biten; Oren Nuriel; Aviad Aberdam; Shai Mazor; Ron Litman; Dimosthenis Karatzas (ECCV Workshops (4), 2022)

On Calibration of Scene-Text Recognition Models. - Ron Slossberg; Oron Anschel; Amir Markovitz; Ron Litman; Aviad Aberdam; Shahar Tsiper; Shai Mazor; Jon Wu; R. Manmatha (ECCV Workshops (4), 2022)

Multimodal Semi-Supervised Learning for Text Recognition. - Aviad Aberdam; Roy Ganz; Shai Mazor; Ron Litman (CoRR, 2022)

An Accelerated Coordinate Gradient Descent Algorithm for Non-separable Composite Optimization. - Aviad Aberdam; Amir Beck (J. Optim. Theory Appl., 2022)

Ada-LISTA: Learned Solvers Adaptive to Varying Models. - Aviad Aberdam; Alona Golts; Michael Elad (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

CLIPTER: Looking at the Bigger Picture in Scene Text Recognition. - Aviad Aberdam; David Bensaïd; Alona Golts; Roy Ganz; Oren Nuriel; Royee Tichauer; Shai Mazor; Ron Litman (ICCV, 2023)

Towards Models that Can See and Read. - Roy Ganz; Oren Nuriel; Aviad Aberdam; Yair Kittenplon; Shai Mazor; Ron Litman (ICCV, 2023)

Deep-Learning-Based Classification of Cyclic-Alternating-Pattern Sleep Phases. - Yoav Kahana; Aviad Aberdam; Alon Amar; Israel Cohen (Entropy, 2023)

GRAM: Global Reasoning for Multi-Page VQA. - Tsachi Blau; Sharon Fogel; Roi Ronen; Alona Golts; Shahar Tsiper; Elad Ben-Avraham; Aviad Aberdam; Roy Ganz; Ron Litman (CVPR, 2024)

Question Aware Vision Transformer for Multimodal Reasoning. - Roy Ganz; Yair Kittenplon; Aviad Aberdam; Elad Ben-Avraham; Oren Nuriel; Shai Mazor; Ron Litman (CVPR, 2024)

TAP-VL: Text Layout-Aware Pre-training for Enriched Vision-Language Models. - Jonathan Fhima; Elad Ben-Avraham; Oren Nuriel; Yair Kittenplon; Roy Ganz; Aviad Aberdam; Ron Litman (CoRR, 2024)

DocVLM: Make Your VLM an Efficient Reader. - Mor Shpigel Nacson; Aviad Aberdam; Roy Ganz; Elad Ben-Avraham; Alona Golts; Yair Kittenplon; Shai Mazor; Ron Litman (CVPR, 2025)