The human dimension information is crucial for efficient building energy saving, health and
productivity, comfort conditions and security management. A great number of studies have …

Face recognition has received significant attention because of its numerous applications in
access control, law enforcement, security, surveillance, Internet communication and …

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It
offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household …

Face-pose estimation aims at estimating the gazing direction with two-dimensional face
images. It gives important communicative information and visual saliency. However, it is …

We propose a novel data augmentation approach to enhance computational behavioral
analysis using social media text. In particular, we collect a Twitter corpus of the descriptions …

Humans have the remarkable ability to follow the gaze of other people to identify what they
are looking at. Following eye gaze, or gaze-following, is an important ability that allows us to …

Gaze target detection aims to infer where each person in a scene is looking. Existing works
focus on 2D gaze and 2D saliency, but fail to exploit 3D contexts. In this work, we propose a …

We address the problem of detecting attention targets in video. Our goal is to identify where
each person in each frame of a video is looking, and correctly handle the case where the …

Human pose estimation aims at localizing human anatomical keypoints or body parts in the
input data (eg, images, videos, or signals). It forms a crucial component in enabling …

There is growing interest in artificial intelligence to build socially intelligent robots. This
requires machines to have the ability to" read" people's emotions, motivations, and other …