We present a joint audio-visual model for isolating a single speech signal from a mixture of
sounds such as other speakers and background noise. Solving this task using only audio as …

Currently, a large number of industrial data, usually referred to big data, are collected from
Internet of Things (IoT). Big data are typically heterogeneous, ie, each object in big datasets …

Active speaker detection is an important component in video analysis algorithms for
applications such as speaker diarization, video re-targeting for meetings, speech …

Biometric recognition is a trending technology that uses unique characteristics data to
identify or verify/authenticate security applications. Amidst the classically used biometrics …

Speaker identification refers to the task of localizing the face of a person who has the same
identity as the ongoing voice in a video. This task not only requires collective perception …

Multimodal facial action units (AU) recognition aims to build models that are capable of
processing, correlating, and integrating information from multiple modalities (ie, 2D images …

The task of searching certain people in videos has seen increasing potential in real-world
applications, such as video organization and editing. Most existing approaches are devised …

Abstract Smart Internet of Things (smart IoT) have emerged as a transformative computing
paradigm recently. This new approach has made great contributions in the area of cyber …

Speaker diarization, which is to find the speech segments of specific speakers, has been
widely used in human-centered applications such as video conferences or human-computer …

Endowing ubiquitous robots with cognitive capabilities for recognizing emotions, sentiments,
affects, and moods of humans in their context is an important challenge, which requires …