Sunghyun Ahn

According to our database, Sunghyun Ahn authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Unified Video Anomaly Detection Model for Detecting Different Anomaly Types.

Kijung Lee, Youngwan Jo, Sunghyun Ahn, Sanghyun Park

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM.

Sunghyun Ahn, Youngwan Jo, Kijung Lee, Sein Kwon, Inpyo Hong, Sanghyun Park

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

GranQ: Granular Zero-Shot Quantization with Unified Layer-Channel Awareness.

Inpyo Hong, Youngwan Jo, Hyojeong Lee, Sunghyun Ahn, Sanghyun Park

CoRR, March, 2025

Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge Computing.

Inpyo Hong, Youngwan Jo, Hyojeong Lee, Sunghyun Ahn, Sanghyun Park

Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

MDVAD: Multimodal Diffusion for Video Anomaly Detection.

Kijung Lee, Youngwan Jo, Sunghyun Ahn, Sanghyun Park

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

2024

Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and Destroyer.

Seungkyun Hong, Sunghyun Ahn, Youngwan Jo, Sanghyun Park

IEEE Access, 2024

Dual Stream Fusion U-Net Transformers for 3D Medical Image Segmentation.

Seungkyun Hong, Sunghyun Ahn, Youngwan Jo, Sanghyun Park

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2024

VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection.

Sunghyun Ahn, Youngwan Jo, Kijung Lee, Sanghyun Park

Proceedings of the Computer Vision - ACCV 2024, 2024