Improved Image Generation via Sparse Modeling. - Roy Ganz; Michael Elad (CoRR, 2021)

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

Threat Model-Agnostic Adversarial Defense using Diffusion Models. - Tsachi Blau; Roy Ganz; Bahjat Kawar; Alex M. Bronstein; Michael Elad (CoRR, 2022)

Do Perceptually Aligned Gradients Imply Adversarial Robustness? - Roy Ganz; Bahjat Kawar; Michael Elad (CoRR, 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)

Do Perceptually Aligned Gradients Imply Robustness? - Roy Ganz; Bahjat Kawar; Michael Elad (ICML, 2023)

Classifier Robustness Enhancement Via Test-Time Transformation. - Tsachi Blau; Roy Ganz; Chaim Baskin; Michael Elad; Alexander M. Bronstein (CoRR, 2023)

FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions. - Noam Rotstein; David Bensaïd; Shaked Brody; Roy Ganz; Ron Kimmel (CoRR, 2023)

BIGRoC: Boosting Image Generation via a Robust Classifier. - Roy Ganz; Michael Elad (Trans. Mach. Learn. Res., 2023)

Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance. - Bahjat Kawar; Roy Ganz; Michael Elad (Trans. Mach. Learn. Res., 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)

Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination. - Shelly Golan; Roy Ganz; Michael Elad (NeurIPS, 2024)

CLIPAG: Towards Generator-Free Text-to-Image Generation. - Roy Ganz; Michael Elad (WACV, 2024)

FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions. - Noam Rotstein; David Bensaïd; Shaked Brody; Roy Ganz; Ron Kimmel (WACV, 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)

Paint by Inpaint: Learning to Add Image Objects by Removing Them First. - Navve Wasserman; Noam Rotstein; Roy Ganz; Ron Kimmel (CVPR, 2025)

Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness. - Maayan Ehrenberg; Roy Ganz; Nir Rosenfeld (ICLR, 2025)

Class-Conditioned Transformation for Enhanced Robust Image Classification. - Tsachi Blau; Roy Ganz; Chaim Baskin; Michael Elad; Alex M. Bronstein (WACV, 2025)

Text-to-Image Generation Via Energy-Based CLIP. - Roy Ganz; Michael Elad (Trans. Mach. Learn. Res., 2025)