The remarkable miniaturization of Internet of Things (IoT)-based systems and the rise of
distributed intelligence are promising research paradigms in the design of smart cities. IoT …

The ability to associate touch with other modalities has huge implications for humans and
computational systems. However multimodal learning with touch remains challenging due to …

An emerging line of work has sought to generate plausible imagery from touch. Existing
approaches, however, tackle only narrow aspects of the visuo-tactile synthesis problem, and …

Deepfake is a technology dedicated to creating highly realistic facial images and videos
under specific conditions, which has significant application potential in fields such as …

The detection and localization of highly realistic deepfake audio-visual content are
challenging even for the most advanced state-of-the-art methods. While most of the research …

Face Forgery videos have elicited critical social public concerns and various detectors have
been proposed. However, fully-supervised detectors may lead to easily overfitting to specific …

Generative deep learning techniques have invaded the public discourse recently. Despite
the advantages, the applications to disinformation are concerning as the counter-measures …

Speech sounds convey a great deal of information about the scenes, resulting in a variety of
effects ranging from reverberation to additional ambient sounds. In this paper, we …

Deepfake techniques can forge the visual or audio signals in the video, which leads to
inconsistencies between visual and audio (VA) signals. Therefore, multimodal detection …

Understanding neural activity and information representation is crucial for advancing
knowledge of brain function and cognition. Neural activity, measured through techniques …