SS-L1.5

MULTI-DOMAIN SHORT VIDEO ANOMALY NEWS DETECTION

Nuo Li, Wei Wang, Xiaochun Cao, Shenzhen Campus of Sun Yat-sen University, China
Session:
SS-L1: Anomaly Signal Identification with Foundation Models Oral
Track:
Special Sessions
Location:
Room 111
Presentation Time:
Tue, 5 May, 15:20 - 15:40
Presentation
Discussion
Resources
No resources available.
Session SS-L1
SS-L1.1: ANOMALY DRIVING BEHAVIOR IDENTIFICATION IN TRAFFIC PERCEPTION WITH TRANSFORMER-BASED MULTI-MODAL SIGNAL FUSION
Youxing Wang, Zhijian Li, Zhi Xu, Xiao Zhao, Wei Li, Lihua Zhang, Fudan University, China
SS-L1.2: MemFormer: Memory-enhanced Transformer with Multi-task Learning for Video Anomaly Detection
Boan Chen, Shanghai Jiao Tong University, China; Peng Sun, Duke Kunshan University, China; Linxiao Gong, Hong Kong University of Science and Technology (Guangzhou), China; Jing Liu, Duke Kunshan University, China; Yang Liu, Tongji University, China
SS-L1.3: WMOE-CLIP: WAVELET-ENHANCED MIXTURE-OF-EXPERTS PROMPT LEARNING FOR ZERO-SHOT ANOMALY DETECTION
Peng Chen, Chao Huang, School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, China
SS-L1.4: Quality enhancement for anomaly detection via injective linear attention
Zhenchao Ma, Hamid Reza Tohidypour, Panos Nasiopoulos, Victor C. M. Leung, The University of British Columbia, Canada
SS-L1.5: MULTI-DOMAIN SHORT VIDEO ANOMALY NEWS DETECTION
Nuo Li, Wei Wang, Xiaochun Cao, Shenzhen Campus of Sun Yat-sen University, China
SS-L1.6: LEVERAGING POINT TRANSFORMER FOR 3D HUMAN MESH RECONSTRUCTION WITH INCOMPLETE POINT CLOUD
Jingyi Wu, Han Yu, Juncen Guo, Jingyu Zhang, Lang Qian, Fudan University, China; Xiaoguang Zhu, University of California, Davis, United States of America; Liang Song, Fudan University, China
Contacts