Face forgery videos have caused severe social public concern, and variou...
We study the 3D-aware image attribute editing problem in this paper, whi...
Deep neural networks (DNNs) have been shown to be vulnerable to adversar...
In this work, we tackle two vital tasks in automated driving systems, i....
Deep neural networks (DNNs) for image classification are known to be
vul...
Recent studies have revealed the vulnerability of face recognition model...
In this paper, we present a Nuisance-label Supervision (NLS) module, whi...
Face recognition is greatly improved by deep convolutional neural networ...
Although deep neural networks (DNNs) have made rapid progress in recent
...
Deep neural networks are vulnerable to adversarial examples, which becom...
Zero-shot video classification for fine-grained activity recognition has...
Despite the rapid growth in datasets for video activity, stable robust
a...
Probabilistic topic models are popular unsupervised learning methods,
in...