eess.IV · 2026-09-02 · No. 103
Image and Video Processing, 2026-09-02.
1 new papers in eess.IV. Titles, authors,
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01 — The papers
1 entries-
01
GazeRefine: Expert Gaze as a Test-Time Prompt for Training-Free Medical Image Segmentation
Mohammed Oussama Benyahia, Marouane Tliba, Mohamed Amine Kerkouri, Taifour Yousra, Bin Wang, Max Bengtsson, Gorkem...
eess.IV · cs.AI · cs.CV · cs.HC · cs.LG
Medical image segmentation remains difficult to scale because high-performing methods typically rely on dense expert annotations and task-specific training. We introduce GazeRefine, a training-free framework that uses gaze as an inference-time prompt for zero-shot medical image segmentation. Sparse, duration-weighted fixations are converted into foreground and background priors that initialize semantic prototypes in frozen DINOv3 feature...
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