Yasser Dahou — accepted AI-conference papers

2026

SigLino: Efficient Multi-Teacher Distillation for Agglomerative Vision Foundation Models

Sofian Chaybouti, Sanath Narayan, Yasser Dahou, Phúc H. Lê Khắc, Ankit Singh, Ngoc Huynh +3

CVPR 2026

Vision foundation models trained via multi-teacher distillation offer a promising path toward unified visual representations, yet the learning dynamics and data efficiency of such approaches remain underexplored. In this paper, we systematically study multi-teacher distillation for vision foundation

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2026

VisRes Bench: On Evaluating the Visual Reasoning Capabilities of VLMs

Brigitta Malagurski Törtei, Yasser Dahou, Ngoc Dung Huynh, Wamiq Reyaz Para, Phúc H. Lê Khac, Ankit Singh +2

CVPR 2026

Vision-Language Models (VLMs) have achieved remarkable progress across tasks such as visual question answering and image captioning. Yet, the extent to which these models perform visual reasoning as opposed to relying on linguistic priors remains unclear. To address this, we introduce VisRes Bench,

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