activity
20232026
most citedDual Branch Deep Learning Network for Detection and Stage Grading of Diabetic Retinopathy

79 citations · 121 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CR2026

The Poisoned Conversation: Privacy-Leaking Watermarks in Unified Multimodal Models

Tobias Braun, Jonas Henry Grebe, Emil Sivic +4

Multimodal models are increasingly shifting toward unified architectures that understand and generate text, images, and other modalities within a shared conversational context. Thi…

cs.CV2026

VETO: Towards Protecting Images From Frontier AI Editing

Jonas Grebe, Hossein Shakibania, Tobias Braun +2

The rise of powerful, accessible image-editing models such as FLUX.2 has brought high-fidelity editing within broad reach. Their capabilities now extend beyond localized modificati…

cs.CV2026

Obliviate: Erasing Concepts from Autoregressive Image Generation Models

Hossein Shakibania, Jonas Henry Grebe, Tobias Braun +4

The widespread adoption of generative AI models has intensified concerns about misuse, including the creation of unsafe or disturbing imagery. To mitigate such issues, several conc…

cs.CR2026

Token by Token, Compromised: Backdoor Vulnerabilities in Unified Autoregressive Models

Tobias Braun, Jonas Henry Grebe, Hossein Shakibania +2

Unified autoregressive models (UAMs) are transformer models that generate text as well as image tokens within a single autoregressive pass. Shared parameters and a multimodal vocab…

cs.LG2025

No Trust Issues Here: A Technical Report on the Winning Solutions for the Rayan AI Contest

Ali Nafisi, Sina Asghari, Mohammad Saeed Arvenaghi +1

This report presents solutions to three machine learning challenges developed as part of the Rayan AI Contest: compositional image retrieval, zero-shot anomaly detection, and backd…

cs.CV2023★ 42 cited

CDAN: Convolutional dense attention-guided network for low-light image enhancement

Hossein Shakibania, Sina Raoufi, Hassan Khotanlou

Low-light images, characterized by inadequate illumination, pose challenges of diminished clarity, muted colors, and reduced details. Low-light image enhancement, an essential task…

eess.IV2023★ 79 cited

Dual Branch Deep Learning Network for Detection and Stage Grading of Diabetic Retinopathy

Hossein Shakibania, Sina Raoufi, Behnam Pourafkham +2

Diabetic retinopathy is a severe complication of diabetes that can lead to permanent blindness if not treated promptly. Early and accurate diagnosis of the disease is essential for…