INFINITY – Multimodal Data Fusion and Analytics Group

From Research to Applications: What Can We Extract with Social Media Sensing?

A. Bozas, S. Andreadis, D. Chatzakou, S. Symeonidis, O. Theodosiadou, P. Kyriakidis, A. Kokkalas, E. A. Stathopoulos, S. Diplaris, T. Tsikrika, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, “What Can We Extract with Social Media Sensing? - Insights from Research to Applications.” SN COMPUT. SCI., vol. 5, 2024. https://doi.org/10.1007/s42979-024-02712-9

ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2022

K. Gkountakos, D. Galanopoulos, D. Touska, K. Ioannidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, "ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2022.", in Proceedings of the TRECVID 2022 Workshop, Gaithersburg, MD, USA, 6 December 2022.

Graph-Based Data Association in Multiple Object Tracking: A Survey

D. Touska, K. Gkountakos, K. Ioannidis, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Graph-Based Data Association in Multiple Object Tracking: A Survey.", in Proceedings of the 29th International Conference on Multimedia Modeling (MMM 2023), Bergen, Norway, 9 - 12 January 2023.

Vehicle Color Identification Framework using Pixel-level Color Estimation from Segmentation Masks of Car Parts

K. Stavrothanasopoulos, K. Gkountakos, K. Ioannidis, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Vehicle Color Identification Framework using Pixel-level Color Estimation from Segmentation Masks of Car Parts.", in Proceedings of the Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS 2022), Genova, Italy, 07-09 December, 2022, Best Session Paper Award.

M4D-MKLab/ITI-CERTH Participation in TREC Deep Learning Track 2021

A. M. Koufakis, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "M4D-MKLab/ITI-CERTH Participation in TREC Deep Learning Track 2021.",in Proceedings of the Text REtrieval Conference (TREC).