This article summarizes research trends on the topic of anomaly detection in video feeds of a
single scene. We discuss the various problem formulations, publicly available datasets and …

Abstract Video Anomaly Detection (VAD) is an important topic in computer vision. Motivated
by the recent advances in self-supervised learning, this paper addresses VAD by solving an …

Over the last decade, the Advanced Driver Assistance System (ADAS) concept has evolved
significantly. ADAS involves several technologies such as automotive electronics, vehicle-to …

Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …

We present a self-supervised approach for learning video representations using temporal
video alignment as a pretext task, while exploiting both frame-level and video-level …

We present a novel approach for unsupervised activity segmentation which uses video
frame clustering as a pretext task and simultaneously performs representation learning and …

Defect inspection plays an essential role in ensuring quality of industrial products. The most
widely used human visual inspection method has some drawbacks such as high cost and …

We present a novel method for few-shot video classification, which performs appearance
and temporal alignments. In particular, given a pair of query and support videos, we conduct …

Detecting dangerous traffic agents in videos captured by vehicle-mounted dashboard
cameras (dashcams) is essential to ensure safe navigation in complex environments …

Predicting vehicle crashes is critical to improve urban transportation safety. It is however
challenging to alarm impending crashes accurately as the volume of non-crash data …