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Suk-Ju Kang

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Preprint Aug 2026

Dual Anchors, Do It Better: Hierarchical Group Merging for Zero-Shot Anomaly Detection

Zero-shot anomaly detection (ZSAD) aims to identify anomalies in unseen domains, a setting that is particularly critical for industrial and medical applications where domain shifts are prevalent. However, most CLIP-based ZSAD methods anchor semantics solely on the text modality, making performance highly sensitive to p...

Jimin Roh, Dongkyu Kim, Suk-Ju Kang · 0 citations
Preprint Aug 2026

SparSTAR: Sparse Attention for SpaceTime AutoRegressive Video Synthesis

SarSTAR is introduced, a training-free block-sparse attention method tailored to this setting, showing that recomputing block selection at each target scale is more reliable than reusing a transferred mask as reuse spans increasingly distant scales.

Jongbeom Lee, Hyunwoo Yu, Jincheol Yang et al. · 0 citations

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