2 papers
cs.CV2026
Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs
Shayan Mohammadizadehsamakosh, Pritam Sarkar, Leonid Sigal +2
Large Vision-Language Models (LVLMs) have achieved strong performance across medical imaging tasks, yet they remain prone to factual inconsistencies, poor visual grounding, and mis…
cs.CV2023
On the Interpretability of Part-Prototype Based Classifiers: A Human Centric Analysis
Omid Davoodi, Shayan Mohammadizadehsamakosh, Majid Komeili
Part-prototype networks have recently become methods of interest as an interpretable alternative to many of the current black-box image classifiers. However, the interpretability o…