96 citations · 311 across the 20 of their papers we have counts for
8 papers · 1 filter
Uncertainty-guided Contrastive Learning for Single Source Domain Generalisation
Anastasios Arsenos, Dimitrios Kollias, Evangelos Petrongonas +2
In the context of single domain generalisation, the objective is for models that have been exclusively trained on data from a single domain to demonstrate strong performance when c…
Self-Supervised Learning for Visual Relationship Detection through Masked Bounding Box Reconstruction
Zacharias Anastasakis, Dimitrios Mallis, Markos Diomataris +3
We present a novel self-supervised approach for representation learning, particularly for the task of Visual Relationship Detection (VRD). Motivated by the effectiveness of Masked…
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…
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…
Deep Bayesian Self-Training
Fabio De Sousa Ribeiro, Francesco Caliva, Mark Swainson +3
Supervised Deep Learning has been highly successful in recent years, achieving state-of-the-art results in most tasks. However, with the ongoing uptake of such methods in industria…
Global Vertices and the Noising Paradox
Konstantinos A. Raftopoulos, Stefanos D. Kollias, Marin Ferecatu
A theoretical and experimental analysis related to the identification of vertices of unknown shapes is presented. Shapes are seen as real functions of their closed boundary. Unlike…
Incremental Noising and its Fractal Behavior
Konstantinos A. Raftopoulos, Marin Ferecatu, Dionyssios D. Sourlas +1
This manuscript is about further elucidating the concept of noising. The concept of noising first appeared in \cite{CVPR14}, in the context of curvature estimation and vertex local…