This paper presents an inverse kinematic optimization layer (IKOL) for 3...
Humans constantly interact with objects in daily life tasks. Capturing s...
Lifelong person re-identification (LReID) is in significant demand for
r...
Federated learning enables multiple decentralized clients to learn
colla...
Federated learning is an emerging learning paradigm where multiple clien...
With the recent advances in mobile energy storage technologies, electric...
Recently, distributed semi-supervised learning (DSSL) algorithms have sh...
Inter-person occlusion and depth ambiguity make estimating the 3D poses ...
The multiple-target self-organizing pursuit (SOP) problem has wide
appli...
Traditional supervised learning requires ground truth labels for the tra...