232 citations
- Information Technologies InstituteGR56 papers
- Aristotle University of ThessalonikiGR18 papers
- University of ThessalyGR8 papers
- Queen Mary University of LondonGB6 papers
- Democritus University of ThraceGR5 papers
- National and Kapodistrian University of AthensGR4 papers
- National Technical University of AthensGR4 papers
- Universidad Politécnica de MadridES4 papers
- Barcelona Supercomputing CenterES3 papers
- Harokopio University of AthensGR3 papers
- Imperial College LondonGB3 papers
- Institució Catalana de Recerca i Estudis AvançatsES3 papers
10 papers · 1 filter
Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content
Elejalde Erick, Galanopoulos Damianos, Niederee Claudia +1
Migration, and especially irregular migration, is a critical issue for border agencies and society in general. Migration-related situations and decisions are influenced by various…
A Characterization of 3D Printability
Ioannis Fudos, Margarita Ntousia, Vasiliki Stamati +5
Additive manufacturing technologies are positioned to provide an unprecedented innovative transformation in how products are designed and manufactured. Due to differences in the te…
A microsimulation approach for the impact assessment of a Vehicle-to-Infrastructure based Road Hazard Warning system
Kallirroi N. Porfyri, Areti Kotsi, Evangelos Mitsakis
Cooperative Intelligent Transportation Systems (C-ITS) constitute technologies which enable vehicles to communicate with each other and with road infrastructure. Verification or te…
Autonomous and cooperative design of the monitor positions for a team of UAVs to maximize the quantity and quality of detected objects
Dimitrios I. Koutras, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos
This paper tackles the problem of positioning a swarm of UAVs inside a completely unknown terrain, having as objective to maximize the overall situational awareness. The situationa…
A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition
Nikolas Adaloglou, Theocharis Chatzis, Ilias Papastratis +7
In this paper, a comparative experimental assessment of computer vision-based methods for sign language recognition is conducted. By implementing the most recent deep neural networ…
A Deep Learning Approach to Object Affordance Segmentation
Spyridon Thermos, Petros Daras, Gerasimos Potamianos
Learning to understand and infer object functionalities is an important step towards robust visual intelligence. Significant research efforts have recently focused on segmenting th…