Gesture recognition in dynamic images is challenging in computer vision, automation and
medical field. Hand gesture tracking and recognition between both human and computer …

Gestures have been used for nonverbal communication for a long time, but human–
computer interaction (HCI) via gestures is becoming more common in the modern era. To …

Most cross-domain unsupervised Video Anomaly Detection (VAD) works assume that at
least few task-relevant target domain training data are available for adaptation from the …

Abstract Although Deep Neural Networks (DNNs) have demonstrated excellent
performance, they are vulnerable to adversarial patches that introduce perceptible and …

The majority of methods for crafting adversarial attacks have focused on scenes with a
single dominant object (eg, images from ImageNet). On the other hand, natural scenes …

Abstract Deep Neural Networks (DNNs) have been shown to be vulnerable to adversarial
examples, which are slightly perturbed input images which lead DNNs to make wrong …

Video classification systems are vulnerable to adversarial attacks, which can create severe
security problems in video verification. Current black-box attacks need a large number of …

Adversarial machine learning attacks on video action recognition models is a growing
research area and many effective attacks were introduced in recent years. These attacks …

We propose an approach for adversarial attacks on dense prediction models (such as object
detectors and segmentation). It is well known that the attacks generated by a single …

Adversarial robustness assessment for video recognition models has raised concerns owing
to their wide applications on safety-critical tasks. Compared with images, videos have much …