activity
20162026
most citedDeep learning based black spot identification on Greek road networks

13 citations · 26 across the 14 of their papers we have counts for

collaborators

16 papers

cs.CV2026

AmalthAI: An Open-Source Computer Vision Platform for Cultural Heritage

Christos Chatzisavvas, Stelios Alvanos, Efstratios Politis +13

Computer vision (CV) and machine learning (ML) offer new tools for cultural heritage (CH) artifact analysis, but the CV/ML pipeline remains largely inaccessible to CH domain expert…

cs.AI2026

A Cognition-Emotion-Personality Framework for Modeling Human-Like Awareness and Behavior in Emergency Evacuations

Zoi Lygizou, Michalis Zervas, Helena G. Theodoropoulou +3

Agent-based evacuation simulations are widely used to study crowd behavior during emergencies, but many models rely on assumptions such as perfect event awareness, complete exit kn…

cs.RO2026

Multi-Agent-Based Simulation of Archaeological Mobility in Uneven Landscapes

Chairi Kiourt, Vassilis Evangelidis, Dimitris Grigoropoulos

Understanding mobility, movement, and interaction in archaeological landscapes is essential for interpreting past human behavior, transport strategies, and spatial organization, ye…

cs.CV2026

ART3mis: Ray-Based Textual Annotation on 3D Cultural Objects

Vasileios Arampatzakis, Vasileios Sevetlidis, Fotis Arnaoutoglou +7

Beyond simplistic 3D visualisations, archaeologists, as well as cultural heritage experts and practitioners, need applications with advanced functionalities. Such as the annotation…

cs.RO2025

PGTT: Phase-Guided Terrain Traversal for Perceptive Legged Locomotion

Alexandros Ntagkas, Chairi Kiourt, Konstantinos Chatzilygeroudis

State-of-the-art perceptive Reinforcement Learning controllers for legged robots typically either (i) impose oscillator-or IK-based gait priors that constrain the action space, bia…

cs.RO2025

Learning and Optimization with 3D Orientations

Alexandros Ntagkas, Constantinos Tsakonas, Chairi Kiourt +1

There exist numerous ways of representing 3D orientations. Each representation has both limitations and unique features. Choosing the best representation for one task is often a di…