Advanced intelligent surveillance systems are able to automatically analyze video of
surveillance data without human intervention. These systems allow high accuracy of human …

We present a method to generate full-body selfies from photographs originally taken at arms
length. Because self-captured photos are typically taken close up they have limited field of …

Artificial Intelligence (AI) is an enabling technology in the context of Industry 4.0. In
particular, the automotive sector is among those who can benefit most of the use of AI in …

We present a deep neural network for removing undesirable shading features from an
unconstrained portrait image, recovering the underlying texture. Our training scheme …

COVID-19 is a huge pandemic disease and is gradually growing into our daily lives. It has
affected us all in different ways, which the World Health Organization classified as a …

Three-dimensional (3D) modeling of non-linear objects from stylized sketches is a challenge
even for computer graphics experts. The extrapolation of object parameters from a stylized …

This study aims to use deep learning to recover the diffuse albedo of human images
captured under a wide range of real-world lighting conditions. A key challenge here is the …

For flash guided non-flash image denoising, the main challenge is to explore the
consistency prior between the two modalities. Most existing methods attempt to model the …

The film industry brings thousands of films to life every year. Not all of them are suitable for
everyone, especially those with violent content. A content rating system is designed for …

Hand tracking is an essential component of computer graphics and human-computer
interaction applications. The use of RGB camera without specific hardware and sensors (eg …