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Heeseung Shin

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Preprint Aug 2026

Clinically Structured Surrogate Rewards for Post-SFT Medical Image Captioning

Medical image captioning requires translating heterogeneous visual evidence into concise clinical descriptions, where errors in findings, assertion states, or anatomical relations can alter clinical meaning despite surface-level fluency. Sequence-level policy optimization can directly optimize complete captions, but co...

Hyun Jun Kim, Heeseung Shin, Changwon Lim · 0 citations
Preprint Aug 2026

Continuity-Driven Representation Learning for Industrial Defect Detection

A continuity-driven representation regularization framework that exploits normal-dominant regions as dense auxiliary supervision for industrial defect detection, particularly when annotated data are scarce is proposed.

Minjong Kim, Hyun Jun Kim, Jeongrae Kim et al. · 0 citations
Preprint Aug 2026

Towards Clinically Faithful Medical Image Captioning via Enhanced Vision-Language Alignment

A framework that strengthens clinical alignment by separating and enhancing training-time alignment and inference-time alignment is proposed and experiments show that complementary visual representations with a multi-encoder design and concept-level auxiliary learning help preserve clinically meaningful information.

Yunseo Lee, Hyun Jun Kim, Heeseung Shin et al. · 0 citations

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