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Seungho Shin

2 accepted papers

2026

Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization

CVPR 2026

Detecting subtle visual anomalies in images remains challenging, particularly when only normal samples are available a priori. Such unsupervised anomaly detection is typically solved by measuring feature similarity of a query patch to a memory of normal patches. However, similarity alone does not re

Cited by 0SourceScholar
2025

Multispectral Pedestrian Detection with Sparsely Annotated Label

AAAI 2025technical

Although existing Sparsely Annotated Object Detection (SAOD) approches have made progress in handling sparsely annotated environments in multispectral domain, where only some pedestrians are annotated, they still have the following limitations: (i) they lack considerations for improving the quality…