Sunghyun Ahn
Sunghyun Ahn
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Sunghyun Ahn
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AMoE-BTS: An Adaptive Mixture of Experts for Clinical Decision Support in Multimodal Brain Tumor Segmentation
GranQ: Efficient Channel-wise Quantization via Vectorized Pre-Scaling for Zero-Shot QAT
AnyAnomaly: Zero-shot Customizable Video Anomaly Detection with LVLM
Unified Video Anomaly Detection Model for Detecting Different Anomaly Types
MDVAD: Multimodal Diffusion for Video Anomaly Detection
Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge Computing
VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection
Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and Destroyer
Dual Stream Fusion U-Net Transformers for 3D Medical Image Segmentation
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