activity
20182026
most citedFast mesh denoising with data driven normal filtering using deep variational autoencoders

23 citations · 55 across the 10 of their papers we have counts for

collaborators

11 papers

eess.IV2026

AI-Driven XR Situational Awareness Platform for Urban Crisis Management and Smart Mobility Operations

Dimitris Spyridonidis, Gerasimos Arvanitis, Konstantinos Moustakas

Urban environments are increasingly exposed to complex, dynamic, and interdependent risks, ranging from traffic incidents and infrastructure failures to large-scale crises such as…

eess.IV2023

Aggressive saliency-aware point cloud compression

Eleftheria Psatha, Dimitrios Laskos, Gerasimos Arvanitis +1

The increasing demand for accurate representations of 3D scenes, combined with immersive technologies has led point clouds to extensive popularity. However, quality point clouds re…

eess.IV2023

Real time enhancement of operator's ergonomics in physical human-robot collaboration scenarios using a multi-stereo camera system

Gerasimos Arvanitis, Nikos Piperigkos, Christos Anagnostopoulos +2

In collaborative tasks where humans work alongside machines, the robot's movements and behaviour can have a significant impact on the operator's safety, health, and comfort. To add…

cs.CV2023

Cooperative Saliency-based Obstacle Detection and AR Rendering for Increased Situational Awareness

Gerasimos Arvanitis, Nikolaos Stagakis, Evangelia I. Zacharaki +1

Autonomous vehicles are expected to operate safely in real-life road conditions in the next years. Nevertheless, unanticipated events such as the existence of unexpected objects in…

cs.SD2022★ 15 cited

AI-enabled Sound Pattern Recognition on Asthma Medication Adherence: Evaluation with the RDA Benchmark Suite

Nikos D. Fakotakis, Stavros Nousias, Gerasimos Arvanitis +2

Asthma is a common, usually long-term respiratory disease with negative impact on global society and economy. Treatment involves using medical devices (inhalers) that distribute me…

cs.CV2021★ 23 cited

Fast mesh denoising with data driven normal filtering using deep variational autoencoders

Stavros Nousias, Gerasimos Arvanitis, Aris S. Lalos +1

Recent advances in 3D scanning technology have enabled the deployment of 3D models in various industrial applications like digital twins, remote inspection and reverse engineering.…

eess.SP2021

Fast Spatio-temporal Compression of Dynamic 3D Meshes

Gerasimos Arvanitis, Aris S. Lalos, Konstantinos Moustakas

3D representations of highly deformable 3D models, such as dynamic 3D meshes, have recently become very popular due to their wide applicability in various domains. This trend inevi…

eess.SP2021

Spectral Processing and Optimization of Static and Dynamic 3D Geometries

Gerasimos Arvanitis

Geometry processing of 3D objects is of primary interest in many areas of computer vision and graphics, including robot navigation, 3D object recognition, classification, feature e…

eess.SY2021

Empowering cyberphysical systems of systems with intelligence

Stavros Nousias, Nikos Piperigkos, Gerasimos Arvanitis +3

Cyber Physical Systems have been going into a transition phase from individual systems to a collecttives of systems that collaborate in order to achieve a highly complex cause, rea…

q-bio.BM2021★ 17 cited

SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties

Andrea Raffo, Ulderico Fugacci, Silvia Biasotti +21

This paper presents the methods that have participated in the SHREC 2021 contest on retrieval and classification of protein surfaces on the basis of their geometry and physicochemi…

eess.SP2018

Block-Based Spectral Processing of Static and Dynamic 3D Meshes using Orthogonal Iterations

Gerasimos Arvanitis, Aris S. Lalos, Konstantinos Moustakas

Spectral methods are widely used in geometry processing of 3D models. They rely on the projection of the mesh geometry on the basis defined by the eigenvectors of the graph Laplaci…