Deep learning algorithms are a subset of the machine learning algorithms, which aim at
discovering multiple levels of distributed representations. Recently, numerous deep learning …

Joint estimation of the human body is suitable for many fields such as human–computer
interaction, autonomous driving, video analysis and virtual reality. Although many depth …

Counterfeit goods create significant economic losses and product failures in many
industries. Here, we report a covert anticounterfeit platform where plasmonic nanoparticles …

In this paper, a deep learning-based iterative solving method for unsupervised motion
retargeting is proposed. Unlike existing methods, we do not utilize generative-adversarial …

We present a method for outdoor markerless motion capture with sparse handheld video
cameras. In the simplest setting, it only involves two mobile phone cameras following the …

Surfaces evolving through time are hard to analyze without prior knowledge of the
represented deforming shape. Topological noise introduced by inaccuracies during surface …

This paper considers human tracking in multi-view setups and investigates a robust strategy
that learns online key poses to drive a shape tracking method. The interest arises in realistic …

Reality: The final frontier. Since the early beginnings of computer graphics, creating
authentic models of real-world objects and achieving visual realism have been major goals …

3D Human shape tracking consists in fitting a template model to temporal sequences of
visual observations. It usually comprises an association step, that finds correspondences …

In multi-view human body capture systems, the recovered 3D geometry or even the acquired
imagery data can be heavily corrupted due to occlusions, noise, limited fieldof-view, etc …