390 citations · 638 across the 22 of their papers we have counts for
22 papers
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…
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers
Ioannis Romanelis, Vlassis Fotis, Konstantinos Moustakas +1
In this paper we delve into the properties of transformers, attained through self-supervision, in the point cloud domain. Specifically, we evaluate the effectiveness of Masked Auto…
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…
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…
SHREC 2022: Fitting and recognition of simple geometric primitives on point clouds
Chiara Romanengo, Andrea Raffo, Silvia Biasotti +17
This paper presents the methods that have participated in the SHREC 2022 track on the fitting and recognition of simple geometric primitives on point clouds. As simple primitives w…
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…
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
SHREC 2021: Classification in cryo-electron tomograms
Ilja Gubins, Marten L. Chaillet, Gijs van der Schot +20
Cryo-electron tomography (cryo-ET) is an imaging technique that allows three-dimensional visualization of macro-molecular assemblies under near-native conditions. Cryo-ET comes wit…
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.…
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…
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…
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…
cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex Polytope
Dimitrios Chamzas, Constantinos Chamzas, Konstantinos Moustakas
During the last years, the emerging field of Augmented & Virtual Reality (AR-VR) has seen tremendousgrowth. At the same time there is a trend to develop low cost high-quality AR sy…
Enhancing an eco-driving gamification platform through wearable and vehicle sensor data integration
Christos Tselios, Stavros Nousias, Dimitris Bitzas +5
As road transportation has been identified as a major contributor of environmental pollution, motivating individuals to adopt a more eco-friendly driving style could have a substan…
DMAPS Monopix developments in large and small electrode designs
Christian Bespin, Marlon Barbero, Pierre Barrillon +30
LF-Monopix1 and TJ-Monopix1 are depleted monolithic active pixel sensors (DMAPS) in 150 nm LFoundry and 180 nm TowerJazz CMOS technologies respectively. They are designed for usage…
3D Augmented Reality Tangible User Interface using Commodity Hardware
Dimitrios Chamzas, Konstantinos Moustakas
During the last years, the emerging field of Augmented and Virtual Reality (AR-VR) has seen tremendous growth. An interface that has also become very popular for the AR systems is…
Radiation hard DMAPS pixel sensors in 150nm CMOS technology for operation at LHC
M. Barbero, P. Barrillon, C. Bespin +22
Monolithic Active Pixel Sensors (MAPS) have been developed since the late 1990s employing silicon substrate with a thin epitaxial layer in which deposited charge is collected by di…
Mini-MALTA: Radiation hard pixel designs for small-electrode monolithic CMOS sensors for the High Luminosity LHC
M. Dyndal, V. Dao, P. Allport +41
Depleted Monolithic Active Pixel Sensor (DMAPS) prototypes developed in the TowerJazz 180 nm CMOS imaging process have been designed in the context of the ATLAS upgrade Phase-II at…
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…
CMOS Monolithic Pixel Sensors based on the Column-Drain Architecture for the HL-LHC Upgrade
K. Moustakas, M. Barbero, I. Berdalovic +20
Depleted Monolithic Active Pixel Sensors (DMAPS) constitute a promising low cost alternative for the outer layers of the ATLAS experiment Inner Tracker (ITk). Realizations in moder…
An Open-Source OpenSim Oculomotor Model for Kinematics and Dynamics Simulation
Konstantinos Filip, Dimitar Stanev, Konstantinos Moustakas
Physics-based modeling and dynamic simulation of human eye movements has significant implications for improving our understanding of the oculomotor system and treating various visu…
Depleted fully monolithic CMOS pixel detectors using a column based readout architecture for the ATLAS Inner Tracker upgrade
T. Wang, M. Barbero, I. Berdalovic +25
Depleted monolithic active pixel sensors (DMAPS), which exploit high voltage and/or high resistivity add-ons of modern CMOS technologies to achieve substantial depletion in the sen…