SHA Computing
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[WACV 2026] AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
Project: https://shacoding.com/2025/09/11/tbd-wacv-2026/
Authors: Sunghyun Ahn, Youngwan Jo, Kijung Lee, Sein Kwon, Inpyo Hong, Sanghyun Park
Affiliation: Yonsei University (DELAB)
PUBLICATIONS
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM (WACV 2026)
This research paper is accepted at the WACV conference in 2026. Title: AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLMAuthors: Sunghyun Ahn*, Youngwan Jo*, Kijung […]
VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection (ACCV 2024)
This research paper is accepted at the ACCV conference in 2024 and also serves as master’s degree graduation thesis. Title: VideoPatchCore: An Effective […]
Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and Destroyer (IEEE Access)
This is a research paper published in the IEEE Access journal in 2024. Title: Making Anomalies More Anomalous: Video Anomaly Detection Using a […]
Dual Stream Fusion U-Net Transformers for 3D Medical Image Segmentation (BigComp 2024)
This is a research paper from the Big Data and Smart Computing (BigComp) conference organized by IEEE in 2024. Title: Dual Stream Fusion […]
LATEST POSTS
논문 리뷰 – Qwen3-VL Technical Report
Qwen3-VL 논문을 Video Understanding 관점에서 정리한 자료입니다. 혹시 피드백이나 문제점이 있으면 알려주시면 감사하겠습니다! – 논문: https://arxiv.org/pdf/2511.21631 Notion: [link]
논문 리뷰 – VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking
VideoCap-R1 (arXiv) 논문을 정리한 자료입니다. 혹시 피드백이나 문제점이 있으면 알려주시면 감사하겠습니다! – 논문: https://arxiv.org/pdf/2506.01725v1 Notion: [link]
논문 리뷰 – Video Captioning and Summarization, and Their Evaluation Methods
Video Captioning & Summarization 논문과 관련 평가 지표를 정리한 자료입니다. 1. Progress-Aware Video Frame Captioning (CVPR 2025) [link]2. Video ReCap: Recursive Captioning of […]
논문 리뷰 – Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
Chat-UniVi (CVPR 2024) 논문을 정리한 자료입니다. 혹시 피드백이나 문제점이 있으면 알려주시면 감사하겠습니다! – 논문: https://arxiv.org/pdf/2311.08046 Chat-UniVi <PT 자료> <PT 자료 – PDF>
논문 리뷰 – Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models
AnomalyRuler (ECCV 2024) 논문을 정리한 자료입니다. 혹시 피드백이나 문제점이 있으면 알려주시면 감사하겠습니다! – 논문: https://arxiv.org/pdf/2407.10299 AnomalyRuler <PT 자료> <PT 자료 – PDF>
논문 리뷰 – Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Panda-70M (CVPR 2024) 논문을 간단하게 정리한 자료입니다. 혹시 피드백이나 문제점이 있으면 알려주시면 감사하겠습니다! – 논문: https://arxiv.org/pdf/2402.19479 Panda-70M <PT 자료> <PT 자료 – PDF>