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Author

Yeong-Jin Kim

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2 papers indexed here

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Preprint Aug 2026

Disentangling Co-Occurring Retinal Pathologies with Saliency-Guided Sparse Expert Routing

Retinal fundus images frequently exhibit multiple co-occurring pathologies, yet standard deep learning classifiers apply static, identical computation to every image regardless of the underlying disease distribution. We propose a novel architecture that resolves this via sparse conditional computation, pairing a Guided...

Nagur Shareef Shaik, Jeongwoo Park, Yeong-Jin Kim et al. · 0 citations
#artificial intelligence Open access Sep 2026

InterHier: Learning Interconnected Hierarchical Semantics for Open-Vocabulary Object Detection

InterHier utilizes a prepended learnable context to globally guide the interpretation of prompts containing hierarchical relationships and offers high versatility and allows for seamless integration into existing OVD models.

Yeong-Jin Kim, Ho-Joong Kim, Seong-Whan Lee · 0 citations

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