VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection. - Sunghyun Ahn; Youngwan Jo; Kijung Lee; Sanghyun Park 003 (ACCV (3), 2024)

Dual Stream Fusion U-Net Transformers for 3D Medical Image Segmentation. - Seungkyun Hong; Sunghyun Ahn; Youngwan Jo; Sanghyun Park 003 (BigComp, 2024)

Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and Destroyer. - Seungkyun Hong; Sunghyun Ahn; Youngwan Jo; Sanghyun Park 003 (IEEE Access, 2024)

MDVAD: Multimodal Diffusion for Video Anomaly Detection. - Kijung Lee; Youngwan Jo; Sunghyun Ahn; Sanghyun Park 003 (PAKDD (1), 2025)

Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge Computing. - Inpyo Hong; Youngwan Jo; Hyojeong Lee; Sunghyun Ahn; Sanghyun Park 003 (SAC, 2025)

AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM. - Sunghyun Ahn; Youngwan Jo; Kijung Lee; Sein Kwon; Inpyo Hong; Sanghyun Park 003 (CoRR, 2025)

GranQ: Granular Zero-Shot Quantization with Unified Layer-Channel Awareness. - Inpyo Hong; Youngwan Jo; Hyojeong Lee; Sunghyun Ahn; Sanghyun Park 003 (CoRR, 2025)