4 citations · 6 across the 4 of their papers we have counts for
8 papers · 1 filter
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems
Furkan Mumcu, Keval Doshi, Yasin Yilmaz
Anomaly detection in videos is an important computer vision problem with various applications including automated video surveillance. Although adversarial attacks on image understa…
An Efficient Approach for Anomaly Detection in Traffic Videos
Keval Doshi, Yasin Yilmaz
Due to its relevance in intelligent transportation systems, anomaly detection in traffic videos has recently received much interest. It remains a difficult problem due to a variety…
A Modular and Unified Framework for Detecting and Localizing Video Anomalies
Keval Doshi, Yasin Yilmaz
Anomaly detection in videos has been attracting an increasing amount of attention. Despite the competitive performance of recent methods on benchmark datasets, they typically lack…
Road Damage Detection using Deep Ensemble Learning
Keval Doshi, Yasin Yilmaz
Road damage detection is critical for the maintenance of a road, which traditionally has been performed using expensive high-performance sensors. With the recent advances in techno…
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate
Keval Doshi, Yasin Yilmaz
Anomaly detection in surveillance videos is attracting an increasing amount of attention. Despite the competitive performance of recent methods, they lack theoretical performance a…
Continual Learning for Anomaly Detection in Surveillance Videos
Keval Doshi, Yasin Yilmaz
Anomaly detection in surveillance videos has been recently gaining attention. A challenging aspect of high-dimensional applications such as video surveillance is continual learning…