Most cross-domain unsupervised Video Anomaly Detection (VAD) works assum...
State-of-the-art generative model-based attacks against image classifier...
The majority of methods for crafting adversarial attacks have focused on...
Image enhancement approaches often assume that the noise is signal
indep...
When compared to the image classification models, black-box adversarial
...
While machine learning approaches have shown remarkable performance in
b...
Despite much recent progress in video-based person re-identification (re...
In this report, we present a theoretical support of the continual learni...
Existing works address the problem of generating high frame-rate sharp v...
Most of the existing works in video synthesis focus on generating videos...