A Modular and Unified Framework for Detecting and Localizing Video Anomalies

21 March 2021

Papers citing "A Modular and Unified Framework for Detecting and Localizing Video Anomalies"

5 / 5 papers shown

Title
Advancing Video Anomaly Detection: A Bi-Directional Hybrid Framework for Enhanced Single- and Multi-Task Approaches Guodong Shen Yuqi Ouyang Junru Lu Yixuan Yang Victor Sanchez 33 1 0 20 Apr 2025
ComplexVAD: Detecting Interaction Anomalies in Video Furkan Mumcu Michael J. Jones Yasin Yilmaz A. Cherian 46 0 0 17 Jan 2025
Look at Adjacent Frames: Video Anomaly Detection without Offline Training Yuqi Ouyang Guodong Shen Victor Sanchez OffRL 15 4 0 27 Jul 2022
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems Furkan Mumcu Keval Doshi Yasin Yılmaz AAML 19 9 0 07 Apr 2022
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge Ryota Hinami Tao Mei Shiníchi Satoh 106 227 0 26 Sep 2017