University of Aizu Researchers’ Paper Wins Best Paper Award at the 2026 IEEE International Conference on Awareness Science and Technology
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お知らせ
On September 24, 2026, a paper by researchers at the University of Aizu, titled "Multi-Level Language Guidance for Weakly Supervised Video Anomaly Detection," received the Best Paper Award at the 2026 IEEE International Conference on Awareness Science and Technology (iCAST 2026), held in Qingdao, China.
Authors:
Yuta Kaneko (Master's Program), Najmul Hassan (Postdoctoral Researcher), Koki Hirooka (Doctoral Program), Prof. Satoshi Nishimura, Prof. Yoichi Tomioka, and Prof. Jungpil Shin
The research focuses on weakly supervised video anomaly detection using multi-level language guidance and vision-language learning. The proposed approach aims to improve the detection of unusual or potentially anomalous events in video by effectively integrating visual information with semantic information derived from language.
* 2026 IEEE International Conference on Awareness Science and Technology (iCAST 2026)