Estimating the pose of a human in 3D given an image or a video has recently received
significant attention from the scientific community. The main reasons for this trend are the …

Vision-based monocular human pose estimation, as one of the most fundamental and
challenging problems in computer vision, aims to obtain posture of the human body from …

The article presents a review of recent literature on the performance metrics of Automated
Driving Systems (ADS). More specifically, performance indicators of environment perception …

We introduce a new dataset, Human3. 6M, of 3.6 Million accurate 3D Human poses,
acquired by recording the performance of 5 female and 6 male subjects, under 4 different …

Virtual and augmented reality (VR/AR) are expected to revolutionise entertainment,
healthcare, communication and the manufacturing industries among many others. Near‐eye …

Due to a general shift in manufacturing paradigm from mass production towards mass
customization, reconfigurable automation technologies, such as robots, are required …

Understanding the different categories of facial expressions of emotion regularly used by us
is essential to gain insights into human cognition and affect as well as for the design of …

This paper presents a novel approach for analyzing human actions in non-scripted,
unconstrained video settings based on volumetric, xyt, patch classifiers, termed actemes …

One option to address the challenge of demographic transition is to build robots that enable
aging in place. Falling has been identified as the most relevant factor to cause a move to a …

Multimodal sentiment analysis utilizes various modalities such as Text, Vision and Speech to
predict sentiment. As these modalities have unique characteristics, methods have been …