Iterative scene learning in visually guided persons' falls detection. - Anastasios D. Doulamis; Konstantinos Makantasis (EUSIPCO, 2011)

Monocular Camera Fall Detection System Exploiting 3D Measures: A Semi-supervised Learning Approach. - Konstantinos Makantasis; Eftychios Protopapadakis; Anastasios D. Doulamis; Lazaros Grammatikopoulos; Christos Stentoumis (ECCV Workshops (3), 2012)

Student-t background modeling for persons' fall detection through visual cues. - Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos F. Matsatsinis (WIAMIS, 2012)

A non-parametric unsupervised approach for content based image retrieval and clustering. - Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos Doulamis (ARTEMIS@ACM Multimedia, 2013)

Vision-based maritime surveillance system using fused visual attention maps and online adaptable tracker. - Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos D. Doulamis (WIAMIS, 2013)

Safe urban growth: An integrated ICT solution for unstandardized and distributed information handling. - Yiannis Agadakos; Konstantinos Makantasis; Panagiotis Partsinevelos; Georgios Papadakis; Anastasios D. Doulamis (WOWMOM, 2013)

Content-Based Filtering for Fast 3D Reconstruction from Unstructured Web-Based Image Data. - Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos D. Doulamis; Marinos Ioannides; Nikolaos F. Matsatsinis (EuroMed, 2014)

Cloud-based 3D Reconstruction of Cultural Heritage Monuments using Open Access Image Repositories. - Andreas Hadjiprocopis; Konrad Wenzel; Mathias Rothermel; Marinos Ioannides; Dieter Fritsch; Michael Klein; Paul S. Johnsons; Guenther Weinlinger; Anastasios D. Doulamis; Eftychios Protopapadakis; Georgia Kyriakaki; Konstantinos Makantasis; et al. (GCH (Short and Project Papers), 2014)

Spatiotemporal graph queries on geographic databases under a conceptual abstraction scale. - Panagiotis Partsinevelos; Konstantinos Papadakis; Konstantinos Makantasis (Geo spatial Inf. Sci., 2014)

The optimal location of the distribution point of the belt conveyor system in continuous surface mining operations. - Christos Roumpos; Panagiotis Partsinevelos; Zacharias Agioutantis; Konstantinos Makantasis; Antigoni Vlachou (Simul. Model. Pract. Theory, 2014)

Deep Convolutional Neural Networks for efficient vision based tunnel inspection. - Konstantinos Makantasis; Eftychios Protopapadakis; Anastasios D. Doulamis; Nikolaos Doulamis; Konstantinos Loupos (ICCP, 2015)

Deep supervised learning for hyperspectral data classification through convolutional neural networks. - Konstantinos Makantasis; Konstantinos Karantzalos; Anastasios D. Doulamis; Nikolaos D. Doulamis (IGARSS, 2015)

Variational Inference for Background Subtraction in Infrared Imagery. - Konstantinos Makantasis; Anastasios D. Doulamis; Konstantinos Loupos (ISVC (1), 2015)

Deep Learning-Based Man-Made Object Detection from Hyperspectral Data. - Konstantinos Makantasis; Konstantinos Karantzalos; Anastasios D. Doulamis; Konstantinos Loupos (ISVC (1), 2015)

Micro-scale thermal behavioral analysis for active evacuation routes. - Nikolaos D. Doulamis; Anastasios D. Doulamis; Konstantinos Makantasis; Konstantinos Karantzalos; Konstantinos Loupos (PETRA, 2015)

A 4D Virtual/Augmented Reality Viewer Exploiting Unstructured Web-based Image Data. - Anastasios D. Doulamis; Nikolaos D. Doulamis; Konstantinos Makantasis; Michael Klein (VISAPP (2), 2015)

Maritime Targets Detection from Ground Cameras Exploiting Semi-supervised Machine Learning. - Eftychios Protopapadakis; Konstantinos Makantasis; Nikolaos D. Doulamis (VISAPP (2), 2015)

Variational Inference for Background Subtraction in Infrared Imagery. - Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos D. Doulamis (CoRR, 2015)

A novel background subtraction scheme for in-camera acceleration in thermal imagery. - Antonis Nikitakis; Ioannis Papaefstathiou; Konstantinos Makantasis; Anastasios D. Doulamis (DATE, 2016)

Deep learning based human behavior recognition in industrial workflows. - Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos Doulamis; Konstantinos Psychas (ICIP, 2016)

Online Indexing Structure for Big Image Data used for 3D Reconstruction. - Konstantinos Makantasis; Yannis Katsaros; Anastasios D. Doulamis; Matthaios Bimpas (VISIGRAPP (4: VISAPP), 2016)

Crack Identification Via User Feedback, Convolutional Neural Networks and Laser Scanners for Tunnel Infrastructures. - Eftychios Protopapadakis; Konstantinos Makantasis; George Kopsiaftis; Nikolaos Doulamis; Angelos Amditis (VISIGRAPP (4: VISAPP), 2016)

Variational Inference Background Subtraction Algorithm for in-Camera Acceleration in Thermal Imagery. - Konstantinos Makantasis; Antonis Nikitakis; Anastasios D. Doulamis; Nikolaos Doulamis; Yannis Papaefstathiou (CoRR, 2016)

In the wild image retrieval and clustering for 3D cultural heritage landmarks reconstruction. - Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos D. Doulamis; Marinos Ioannides (Multim. Tools Appl., 2016)

3D measures exploitation for a monocular semi-supervised fall detection system. - Konstantinos Makantasis; Eftychios Protopapadakis; Anastasios D. Doulamis; Nikolaos D. Doulamis; Nikolaos F. Matsatsinis (Multim. Tools Appl., 2016)

Semi-supervised vision-based maritime surveillance system using fused visual attention maps. - Konstantinos Makantasis; Eftychios Protopapadakis; Anastasios D. Doulamis; Nikolaos F. Matsatsinis (Multim. Tools Appl., 2016)

Recognizing Buildings through Deep Learning: A Case Study on Half-timbered Framed Buildings in Calw City. - Konstantinos Makantasis; Nikolaos D. Doulamis; Athanasios Voulodimos (VISIGRAPP (5: VISAPP), 2017)

Tensor-Based Classifiers for Hyperspectral Data Analysis. - Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos Doulamis; Antonis Nikitakis (CoRR, 2017)

Four-dimensional reconstruction of cultural heritage sites based on photogrammetry and clustering. - Athanasios Voulodimos; Nikolaos Doulamis; Dieter Fritsch; Konstantinos Makantasis; Anastasios D. Doulamis; Michael Klein (J. Electronic Imaging, 2017)

Tensor-Based Nonlinear Classifier for High-Order Data Analysis. - Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos Doulamis; Antonis Nikitakis; Athanasios Voulodimos (ICASSP, 2018)

Autonomous robotic system for tunnel structural inspection and assessment. - Konstantinos Loupos; Anastasios D. Doulamis; Christos Stentoumis; Eftychios Protopapadakis; Konstantinos Makantasis; Nikolaos D. Doulamis; Angelos Amditis; Philippe Chrobocinski; Juan G. Victores; Roberto Montero; Elisabeth Menendez; Carlos Balaguer; et al. (Int. J. Intell. Robotics Appl., 2018)

Data-Driven Background Subtraction Algorithm for In-Camera Acceleration in Thermal Imagery. - Konstantinos Makantasis; Antonios Nikitakis; Anastasios D. Doulamis; Nikolaos D. Doulamis; Ioannis Papaefstathiou (IEEE Trans. Circuits Syst. Video Technol., 2018)

Tensor-Based Classification Models for Hyperspectral Data Analysis. - Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos D. Doulamis; Antonis Nikitakis (IEEE Trans. Geosci. Remote. Sens., 2018)

From Pixels to Affect: A Study on Games and Player Experience. - Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (ACII, 2019)

Fusing Level and Ruleset Features for Multimodal Learning of Gameplay Outcomes. - Antonios Liapis; Daniel Karavolos; Konstantinos Makantasis; Konstantinos Sfikas; Georgios N. Yannakakis (CoG, 2019)

Common Mode Patterns for Supervised Tensor Subspace Learning. - Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos Doulamis; Athanasios Voulodimos (ICASSP, 2019)

Hyperspectral Image Classification with Tensor-Based Rank-R Learning Models. - Konstantinos Makantasis; Athanasios Voulodimos; Anastasios D. Doulamis; Nikolaos Doulamis; Ioannis Georgoulas (ICIP, 2019)

A Deep Reinforcement Learning Driving Policy for Autonomous Road Vehicles. - Konstantinos Makantasis; Maria Kontorinaki; Ioannis K. Nikolos (CoRR, 2019)

A Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles. - Konstantinos Makantasis; Maria Kontorinaki; Ioannis K. Nikolos (CoRR, 2019)

A Unified Novel Neural Network Approach and a Prototype Hardware Implementation for Ultra-Low Power EEG Classification. - Antonis Nikitakis; Konstantinos Makantasis; Nikolaos Tampouratzis; Ioannis Papaefstathiou (IEEE Trans. Biomed. Circuits Syst., 2019)

Space-Time Domain Tensor Neural Networks: An Application on Human Pose Classification. - Konstantinos Makantasis; Athanasios Voulodimos; Anastasios D. Doulamis; Nikolaos Bakalos; Nikolaos Doulamis (ICPR, 2020)

Space-Time Domain Tensor Neural Networks: An Application on Human Pose Recognition. - Konstantinos Makantasis; Athanasios Voulodimos; Anastasios D. Doulamis; Nikolaos Bakalos; Nikolaos Doulamis (CoRR, 2020)

AffRankNet+: Ranking Affect Using Privileged Information. - Konstantinos Makantasis (ACII (Workshops and Demos), 2021)

Privileged Information for Modeling Affect In The Wild. - Konstantinos Makantasis; David Melhart; Antonios Liapis; Georgios N. Yannakakis (ACII, 2021)

Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification. - Konstantinos Makantasis; Alexandros Georgogiannis; Athanasios Voulodimos; Ioannis Georgoulas; Anastasios D. Doulamis; Nikolaos Doulamis (IEEE Access, 2021)

The Invariant Ground Truth of Affect. - Konstantinos Makantasis; Kosmas Pinitas; Antonios Liapis; Georgios N. Yannakakis (ACIIW, 2022)

Learning Task-Independent Game State Representations from Unlabeled Images. - Chintan Trivedi; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (CoG, 2022)

Game State Learning via Game Scene Augmentation. - Chintan Trivedi; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (FDG, 2022)

RankNEAT: outperforming stochastic gradient search in preference learning tasks. - Kosmas Pinitas; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (GECCO, 2022)

Automatic Inspection of Cultural Monuments Using Deep and Tensor-Based Learning on Hyperspectral Imagery. - Ioannis N. Tzortzis; Ioannis Rallis; Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos Doulamis; Athanasios Voulodimos (ICIP, 2022)

Supervised Contrastive Learning for Affect Modelling. - Kosmas Pinitas; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (ICMI, 2022)

Multi-property Tensor-Based Learning for Abnormal Event Detection. - Nikolaos Bakalos; Nikolaos Doulamis; Anastasios D. Doulamis; Konstantinos Makantasis (ISVC (1), 2022)

Revisiting lp-constrained Softmax Loss: A Comprehensive Study. - Chintan Trivedi; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (CoRR, 2022)

Knowing Your Annotator: Rapidly Testing the Reliability of Affect Annotation. - Matthew Barthet; Chintan Trivedi; Kosmas Pinitas; Emmanouil Xylakis; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (ACIIW, 2023)

Towards General Game Representations: Decomposing Games Pixels into Content and Style. - Chintan Trivedi; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (BMVC Workshop, 2023)

Predicting Player Engagement in Tom Clancy's The Division 2: A Multimodal Approach via Pixels and Gamepad Actions. - Kosmas Pinitas; David Renaudie; Mike Thomsen; Matthew Barthet; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (ICMI, 2023)

Tensor-based embedding for graph-based semi-supervised approaches. - Ioannis Georgoulas; Eftychios Protopapadakis; Konstantinos Makantasis; Anastasios D. Doulamis (PETRA, 2023)

Graph-Based Semi-Supervised Learning With Tensor Embeddings for Hyperspectral Data Classification. - Ioannis Georgoulas; Eftychios Protopapadakis; Konstantinos Makantasis; Dylan Seychell; Anastasios Doulamis; Nikolaos Doulamis (IEEE Access, 2023)

The Pixels and Sounds of Emotion: General-Purpose Representations of Arousal in Games. - Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (IEEE Trans. Affect. Comput., 2023)

Varying the Context to Advance Affect Modelling: A Study on Game Engagement Prediction. - Kosmas Pinitas; Nemanja Rasajski; Matthew Barthet; Maria Kaselimi; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (ACII, 2024)

Across-Game Engagement Modelling via Few-Shot Learning. - Kosmas Pinitas; Konstantinos Makantasis; Georgios N. Yannakakis (ECCV Workshops (2), 2024)

BehAVE: Behaviour Alignment of Video Game Encodings. - Nemanja Rasajski; Chintan Trivedi; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (ECCV Workshops (2), 2024)

Simulator-Free Visual Domain Randomization via Video Games. - Chintan Trivedi; Nemanja Rasajski; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (CoRR, 2024)

Learning using privileged information for segmenting tumors on digital mammograms. - Ioannis N. Tzortzis; Konstantinos Makantasis; Ioannis Rallis; Nikolaos Bakalos; Anastasios Doulamis; Nikolaos Doulamis (CoRR, 2024)

GameVibe: A Multimodal Affective Game Corpus. - Matthew Barthet; Maria Kaselimi; Kosmas Pinitas; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (CoRR, 2024)

From the Lab to the Wild: Affect Modeling Via Privileged Information. - Konstantinos Makantasis; Kosmas Pinitas; Antonios Liapis; Georgios N. Yannakakis (IEEE Trans. Affect. Comput., 2024)