96 citations · 269 across the 8 of their papers we have counts for
15 papers
HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media
Anargyros Chatzitofis, Leonidas Saroglou, Prodromos Boutis +9
We introduce HUMAN4D, a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric captu…
DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors
Anargyros Chatzitofis, Dimitrios Zarpalas, Stefanos Kollias +1
In this paper, a marker-based, single-person optical motion capture method (DeepMoCap) is proposed using multiple spatio-temporally aligned infrared-depth sensors and retro-reflect…
MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysis
Dimitrios Kollias, Anastasios Arsenos, Levon Soukissian +1
Early and reliable COVID-19 diagnosis based on chest 3-D CT scans can assist medical specialists in vital circumstances. Deep learning methodologies constitute a main approach for…
AI-enabled Efficient and Safe Food Supply Chain
Ilianna Kollia, Jack Stevenson, Stefanos Kollias
This paper provides a review of an emerging field in the food processing sector, referring to efficient and safe food supply chains, from farm to fork, as enabled by Artificial Int…
An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth
Bashar Alhnaity, Stefanos Kollias, Georgios Leontidis +3
Multi-step prediction is considered of major significance for time series analysis in many real life problems. Existing methods mainly focus on one-step-ahead forecasting, since mu…
A compact sequence encoding scheme for online human activity recognition in HRI applications
Georgios Tsatiris, Kostas Karpouzis, Stefanos Kollias
Human activity recognition and analysis has always been one of the most active areas of pattern recognition and machine intelligence, with applications in various fields, including…