Active speaker detection (ASD) seeks to detect who is speaking in a visual scene of one or
more speakers. The successful ASD depends on accurate interpretation of short-term and …

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

Current methods for active speaker detection focus on modeling audiovisual information
from a single speaker. This strategy can be adequate for addressing single-speaker …

In a noisy conversation environment such as a dinner party, people often exhibit selective
auditory attention, or the ability to focus on a particular speaker while tuning out others …

Successful active speaker detection requires a three-stage pipeline:(i) audio-visual
encoding for all speakers in the clip,(ii) inter-speaker relation modeling between a reference …

Active speaker detection requires a solid integration of multi-modal cues. While individual
modalities can approximate a solution, accurate predictions can only be achieved by …

Recent advances in the Active Speaker Detection (ASD) problem build upon a two-stage
process: feature extraction and spatio-temporal context aggregation. In this paper, we …

In this paper, we show how to use audio to supervise the learning of active speaker
detection in video. Voice Activity Detection (VAD) guides the learning of the vision-based …

Egocentric gaze anticipation serves as a key building block for the emerging capability of
Augmented Reality. Notably, gaze behavior is driven by both visual cues and audio signals …

With the current technological transformation in the automotive industry, autonomous
vehicles are getting closer to the Society of Automative Engineers (SAE) automation level 5 …