no code implementations • 12 Jul 2021 • Giorgos Karvounas, Nikolaos Kyriazis, Iason Oikonomidis, Aggeliki Tsoli, Antonis A. Argyros
The amount and quality of datasets and tools available in the research field of hand pose and shape estimation act as evidence to the significant progress that has been made. However, even the datasets of the highest quality, reported to date, have shortcomings in annotation.
1 code implementation • 27 Mar 2021 • Sergiu Oprea, Giorgos Karvounas, Pablo Martinez-Gonzalez, Nikolaos Kyriazis, Sergio Orts-Escolano, Iason Oikonomidis, Alberto Garcia-Garcia, Aggeliki Tsoli, Jose Garcia-Rodriguez, Antonis Argyros
Relying on image-to-image translation, we improve the appearance of synthetic hands to approximate the statistical distribution underlying a collection of real images of hands.
1 code implementation • 16 Dec 2019 • Dennis Bautembach, Iason Oikonomidis, Nikolaos Kyriazis, Antonis Argyros
We present a clock-driven Spiking Neural Network simulator which is up to 3x faster than the state of the art while, at the same time, being more general and requiring less programming effort on both the user's and maintainer's side.
no code implementations • 30 Apr 2018 • Ammar Qammaz, Sokol Kosta, Nikolaos Kyriazis, Antonis Argyros
This paper presents the case study of a non-intrusive porting of a monolithic C++ library for real-time 3D hand tracking, to the domain of edge-based computation.
no code implementations • CVPR 2014 • Nikolaos Kyriazis, Antonis Argyros
We consider the problem of tracking multiple interacting objects in 3D, using RGBD input and by considering a hypothesize-and-test approach.
no code implementations • CVPR 2013 • Nikolaos Kyriazis, Antonis Argyros
In several hand-object(s) interaction scenarios, the change in the objects' state is a direct consequence of the hand's motion.