2 papers
cs.CV2024
Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images
Ammar Qammaz, Nikolaos Vasilikopoulos, Iason Oikonomidis +1
We present Y-MAP-Net, a Y-shaped neural network architecture designed for real-time multi-task learning on RGB images. Y-MAP-Net, simultaneously predicts depth, surface normals, hu…
cs.DC2018
On the Feasibility of Real-Time 3D Hand Tracking using Edge GPGPU Acceleration
Ammar Qammaz, Sokol Kosta, Nikolaos Kyriazis +1
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. Towards a proof o…