Nicholas Vretos

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 41

Top Topics

Zernike Moments

Graph Embedding

Action Recognition

Personalized Learning

Top Venues

Publications

Thomas Kopalidis, Vassilios Solachidis, Nicholas Vretos, Petros Daras
Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets. Inf. 15 (3) (2024)
Christos Avgerinos, Nicholas Vretos, Petros Daras
Less Is More: Adaptive Trainable Gradient Dropout for Deep Neural Networks. Sensors 23 (3) (2023)
Konstantina Mardani, Nicholas Vretos, Petros Daras
Transformer-Based Fire Detection in Videos. Sensors 23 (6) (2023)
Thomas Theodoridis, George Katsikas, Nicholas Vretos, Petros Daras
A Symbiotic Orchestration Module for Multi-agent Collaboration in Disaster Response Scenarios. ISCRAM (2022)
Jennifer Jiménez, Juan Mercado, Laura Carrasco, Verónica Ruíz, Vassilios Solachidis, Javier Serrano, Nicholas Vretos, Federico Álvarez
Monitoring of motor function in the rehabilitation room. PETRA (2022)
Rodrigo Medina-García, Cristina María Lozano-Hernández, Juan Mercado Gómez, Jennifer Jiménez Ramos, Spela Glisovic Krivec, Martina Steinböck, Agostino Chiaravalloti, Panagiotis Karkazis, Vassilis Solachidis, Nicholas Vretos, Javier Serrano, Federico Álvarez
Virtual assistants and intelligent care environments for long-term patients: A Home set scenario. PETRA (2022)
Thomas Theodoridis, Kostas Loumponias, Nicholas Vretos, Petros Daras
Zernike Pooling: Generalizing Average Pooling Using Zernike Moments. IEEE Access 9 (2021)
Vassilis Solachidis, Jaime Rodriguez Moreno, Gustavo Hernández-Peñaloza, Nicholas Vretos, Federico Álvarez, Petros Daras
TeNDER: towards efficient Health Systems through e-Health platforms employing multimodal monitoring. CHASE (2021)
Kostas Loumponias, Nicholas Vretos, George Tsaklidis, Petros Daras
An Improved Tobit Kalman Filter with Adaptive Censoring Limits. Circuits Syst. Signal Process. 39 (11) (2020)
Christos Avgerinos, Vassilios Solachidis, Nicholas Vretos, Petros Daras
Non-Parametric Clustering Using Deep Neural Networks. IEEE Access 8 (2020)
Helen C. Leligou, Despina Anastosopoulos, Anita Montagna, Vassilis Solachidis, Nicholas Vretos
Embracing Novel ICT Technologies to Support the Journey From Camp to Job. ICME Workshops (2020)
Nikolas Adaloglou, Nicholas Vretos, Petros Daras
Multi-view Adaptive Graph Convolutions for Graph Classification. ECCV (26) (2020)
Paschalis Bizopoulos, Nicholas Vretos, Petros Daras
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans. CoRR (2020)
Athanasios Lelis, Nicholas Vretos, Petros Daras
Nadine-Bot: An Open Domain Migrant Integration Administrative Agent. ICME Workshops (2020)
Efthimia Kafali, Nicholas Vretos, Theodoros Semertzidis, Petros Daras
RobusterNet: Improving Copy-Move Forgery Detection with Volterra-based Convolutions. ICPR (2020)
Nikolas Adaloglou, Nicholas Vretos, Petros Daras
Multi-view adaptive graph convolutions for graph classification. CoRR (2020)
Alberto Belmonte-Hernández, Thomas Theodoridis, Marta Burgos González, Gustavo Hernández-Peñaloza, Vassilios Solachidis, Jennifer Jiménez Ramos, Federico Álvarez, Nicholas Vretos, Laura Carrasco, Petros Daras
A novel framework for physical therapy rehabilitation monitoring and assessment in Parkinson disease patients using depth information. PETRA (2019)
Alexandros Doumanoglou, Nicholas Vretos, Petros Daras
Frequency-based slow feature analysis. Neurocomputing 368 (2019)
Nicholas Vretos, Petros Daras, Stylianos Asteriadis, Enrique Hortal, Esam Ghaleb, Evaggelos Spyrou, Helen C. Leligou, Panagiotis Karkazis, Panagiotis Trakadas, Kostantinos Assimakopoulos
Exploiting sensing devices availability in AR/VR deployments to foster engagement. Virtual Real. 23 (4) (2019)
Gerasimos Palaiopanos, Panagiotis Stalidis, Nicholas Vretos, Theodoros Semertzidis, Petros Daras
Embedding Big Data in Graph Convolutional Networks. ICE/ITMC (2019)
Michalis Angelou, Vassilis Solachidis, Nicholas Vretos, Petros Daras
Graph-based multimodal fusion with metric learning for multimodal classification. Pattern Recognit. 95 (2019)
Yu Zou, Michela Lecca, Massimo Gottardi, Giulio Urlini, Nicholas Vretos, Lazaros Gymnopoulos, Petros Daras
A Battery Powered Vision Sensor for Forensic Evidence Gathering. ICDSC (2019)
Kostas Loumponias, Nicholas Vretos, George Tsaklidis, Petros Daras
An Improved Tobit Kalman Filter with Adaptive Censoring Limits. CoRR (2019)
Dorothea Tsatsou, Andrew Pomazanskyi, Enrique Hortal, Evaggelos Spyrou, Helen C. Leligou, Stylianos Asteriadis, Nicholas Vretos, Petros Daras
Adaptive Learning Based on Affect Sensing. AIED (2) (2018)
Kostas Loumponias, Anastasios Dimou, Nicholas Vretos, Petros Daras
Adaptive Tobit Kalman-Based Tracking. SITIS (2018)
Christina Chrysouli, Nicholas Vretos, Petros Daras
Affective State Recognition based on eye gaze Analysis using two-Stream Convolutional Networks. MLSP (2018)
Evaggelos Spyrou, Nicholas Vretos, Andrew Pomazanskyi, Stylianos Asteriadis, Helen C. Leligou
Exploiting IoT Technologies for Personalized Learning. CIG (2018)
Federico Alvarez, Mirela Popa, Vassilios Solachidis, Gustavo Hernandez-Penaloza, Alberto Belmonte-Hernandez, Stylianos Asteriadis, Nicholas Vretos, Marcos Quintana, Thomas Theodoridis, Dario Dotti, Petros Daras
Behavior Analysis through Multimodal Sensing for Care of Parkinson's and Alzheimer's Patients. IEEE Multim. 25 (1) (2018)
Ioannis Tsingalis, Nicholas Vretos, Petros Daras
Leveraging Skeleton Structure and Time Dependencies in the Scope of Action Recognition. ICIP (2018)
Vassilis Solachidis, Ioannis Paliokas, Nicholas Vretos, Konstantinos Votis, Ulises Cortés, Dimitrios Tzovaras
Two examples of online eHealth platforms for supporting people living with cognitive impairments and their caregivers. PETRA (2018)
Georgios Zoumpourlis, Alexandros Doumanoglou, Nicholas Vretos, Petros Daras
Non-linear Convolution Filters for CNN-based Learning. CoRR (2017)
Dimitrios Antonaras, Charis Pavlidis, Nicholas Vretos, Petros Daras
Affect state recognition for adaptive human robot interaction in learning environments. SMAP (2017)
Georgios Zoumpourlis, Alexandros Doumanoglou, Nicholas Vretos, Petros Daras
Non-linear Convolution Filters for CNN-Based Learning. ICCV (2017)
Thomas Theodoridis, Vassilis Solachidis, Nicholas Vretos, Petros Daras, Dario Dotti, Mirela Popa, Gustavo Hernández, Federico Alvarez, Alejandro Gonzalez Paton, Angel Lopez
ICT4Life open source libraries supporting multimodal analysis of different diseases. AVSS (2017)
Alberto Belmonte-Hernandez, Vassilis Solachidis, Thomas Theodoridis, Gustavo Hernandez-Penaloza, Giuseppe Conti, Nicholas Vretos, Federico Alvarez, Petros Daras
Person tracking association using multi-modal systems. AVSS (2017)
Federico Alvarez, Mirela Popa, Nicholas Vretos, Alberto Belmonte-Hernandez, Stelios Asteriadis, Vassilis Solachidis, Triana Mariscal, Dario Dotti, Petros Daras
Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform. AVSS (2017)
Alejandro Sánchez-Rico, Pascal Garel, Isabella Notarangelo, Marcos Quintana, Gustavo Hernández, Stylianos Asteriadis, Mirela Popa, Nicholas Vretos, Vassilis Solachidis, Marta Burgos, Ariane Girault
ICT Services for Life Improvement for the Elderly. AAATE Conf. (2017)
Dorothea Tsatsou, Nicholas Vretos, Petros Daras
Modelling learning experiences in adaptive multi-agent learning environments. VS-GAMES (2017)
Nicholas Vretos, Dimitrios S. Alexiadis, Dimitrios Zarpalas, Petros Daras
Enhancing real-time full 3D reconstruction of humans with pre-scanned meshes. ICIP (2016)
Georgios Palaiokrassas, Athanasios Voulodimos, Kleopatra Konstanteli, Nicholas Vretos, David Salama Osborne, Efstathia Chatzi, Petros Daras, Dora Varvarigou
Social Media Interaction and Analytics for Enhanced Educational Experiences. IEEE Multim. 23 (1) (2016)
Alexandros Doumanoglou, Nicholas Vretos, Petros Daras
Action recognition from videos using sparse trajectories. ICDP (2016)
Nicholas Vretos, Anastasios Tefas, Ioannis Pitas
A novel dimensionality reduction technique based on kernel optimization through graph embedding. Signal Image Video Process. 9 (Supplement-1) (2015)
Nicholas Vretos, Petros Daras
Temporal and color consistent disparity estimation in stereo videos. ICIP (2014)
Dimitrios Christopoulos, Efstathia Chatzi, Anargyros Chatzitofis, Nicholas Vretos, Petros Daras
Future Media Internet Technologies for Digital Domes. HCI (16) (2014)
Anargyros Chatzitofis, Nicholas Vretos, Dimitrios Zarpalas, Petros Daras
Three-dimensional monitoring of weightlifting for computer assisted training. VRIC (2013)
Nicholas Vretos, Anastasios Tefas, Ioannis Pitas
Using robust dispersion estimation in support vector machines. Pattern Recognit. 46 (12) (2013)
Nicholas Vretos, Nikos Nikolaidis, Ioannis Pitas
The use of Audio-Visual Description Profile in 3D video content description. 3DTV-Conference (2012)
Nicholas Vretos, Nikos Nikolaidis, Ioannis Pitas
Video fingerprinting using Latent Dirichlet Allocation and facial images. Pattern Recognit. 45 (7) (2012)
Nicholas Vretos, Anastasios Tefas, Ioannis Pitas
Facial expression recognition with robust covariance estimation and Support Vector Machines. MLSP (2012)
Nicholas Vretos, Nikos Nikolaidis, Ioannis Pitas
3D facial expression recognition using Zernike moments on depth images. ICIP (2011)
Christina Chrysouli, Nicholas Vretos, Ioannis Pitas
Face clustering in videos based on spectral clustering techniques. ACPR (2011)
Nicholas Vretos, Vassilios Solachidis, Ioannis Pitas
A mutual information based face clustering algorithm for movie content analysis. Image Vis. Comput. 29 (10) (2011)
Nicholas Vretos, Nikos Nikolaidis, Ioannis Pitas
A perceptual hashing algorithm using latent dirichlet allocation. ICME (2009)
Nicholas Vretos, Nikos Nikolaidis, Ioannis Pitas
A model-based facial expression recognition algorithm using Principal Components Analysis. ICIP (2009)
Nicholas Vretos, Vassilios Solachidis, Petr Somol, Ioannis Pitas
Facial expression recognition using angle-related information from facial meshes. EUSIPCO (2008)
Nicholas Vretos, Vassilios Solachidis, Ioannis Pitas
A Face Tracker Trajectories Clustering Using Mutual Information. MMSP (2007)
Nicholas Vretos, Vassilios Solachidis, Ioannis Pitas
A Mutual Information based Face Clustering Algorithm for Movies. ICME (2006)
Nicholas Vretos, Vassilios Solachidis, Ioannis Pitas
An MPEG-7 Based Description Scheme for Video Analysis Using Anthropocentric Video Content Descriptors. Panhellenic Conference on Informatics (2005)
Nicholas Vretos, Vassilios Solachidis, Ioannis Pitas
An anthropocentric description scheme for movies content classification and indexing. EUSIPCO (2005)