Grigorios Tsagkatakis
Grigorios Tsagkatakis
Research Scientist, Signal Processing Lab, ICS - FORTH
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα - Αρχική σελίδα
Παρατίθεται από
Παρατίθεται από
Cyber-physical systems: from theory to practice
DB Rawat, JJPC Rodrigues, I Stojmenovic
CRC Press, 2015
Online distance metric learning for object tracking
G Tsagkatakis, A Savakis
IEEE Transactions on Circuits and Systems for Video Technology 21 (12), 1810 …, 2011
Manifold based sparse representation for robust expression recognition without neutral subtraction
R Ptucha, G Tsagkatakis, A Savakis
2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011
Survey of Deep Learning Approaches for Remote Sensing Observation Enhancement
G Tsagkatakis, A Aidini, K Fotiadou, M Giannopoulos, A Pentari, ...
Sensors 19 (18), 2019
Land Classification Using Remotely Sensed Data: Going Multilabel
K Karalas, G Tsagkatakis, K Zervakis, Tsakalides, P.
IEEE Transactions on Geoscience and Remote Sensing 54 (6), 3548 - 3563, 2016
Low light image enhancement via sparse representations
K Fotiadou, G Tsagkatakis, P Tsakalides
International Conference Image Analysis and Recognition, 84-93, 2014
Deep learning for multi-label land cover classification
K Karalas, G Tsagkatakis, M Zervakis, P Tsakalides
SPIE Remote Sensing, 96430Q-96430Q-14, 2015
Efficient Multi-Channel Signal Strength based Localization via Matrix Completion and Bayesian Sparse Learning
S Nikitaki, G Tsagkatakis, P Tsakalides
Mobile Computing, IEEE Transactions on 14 (11), 2244 - 2256, 2015
Efficient training for fingerprint based positioning using matrix completion
S Nikitaki, G Tsagkatakis, P Tsakalides
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012
Matrix and tensor completion on a human activity recognition framework
S Savvaki, G Tsagkatakis, A Panousopoulou, P Tsakalides
IEEE journal of biomedical and health informatics 21 (6), 1554-1561, 2017
Deep Learning for Multilabel Land Cover Scene Categorization Using Data Augmentation
R Stoivaktakis, G Tsagkatakis, P Tsakalides
IEEE Geoscience and Remote Sensing Letters, 2019
ELGAR - a European Laboratory for Gravitation and Atom-interferometric Research
B Canuel, S Abend, P Amaro-Seoane, F Badaracco, Q Beaufils, A Bertoldi, ...
Classical and Quantum Gravity, 2020
Deep Convolutional Neural Networks for the Classification of Snapshot Mosaic Hyperspectral Imagery
K Fotiadou, G Tsagkatakis, P Tsakalides
International Symposium on Electronic Imaging, 2017
Methods for tracking objects using random projections, distance learning and a hybrid template library and apparatuses thereof
G Tsagkatakis, A Savakis
US Patent 8,873,798, 2014
A random projections model for object tracking under variable pose and multi-camera views
G Tsagkatakis, A Savakis
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras …, 2009
Convolutional Neural Networks for Video Quality Assessment
M Giannopoulos, G Tsagkatakis, S Blasi, F Toutounchi, A Mouchtaris, ...
arXiv preprint arXiv:1809.10117, 2018
Smart Water Grids: A Cyber-Physical Systems Approach
P Tsakalides, A Panousopoulou, G Tsagkatakis, L Montestruque
CRC Press, 2018
Singular spectrum-based matrix completion for time series recovery and prediction
G Tsagkatakis, B Beferull-Lozano, P Tsakalides
EURASIP Journal on Advances in Signal Processing, 2016
Multireturn compressed gated range imaging
G Tsagkatakis, A Woiselle, G Tzagkarakis, M Bousquet, JL Starck, ...
optical engineering 54 (3), 2015
Goal! Event Detection in Sports Video
G Tsagkatakis, M Jaber, P Tsakalides
International Symposium on Electronic Imaging, 2017
Δεν είναι δυνατή η εκτέλεση της ενέργειας από το σύστημα αυτή τη στιγμή. Προσπαθήστε ξανά αργότερα.
Άρθρα 1–20