Marco Raoul Marini


Titolo Pubblicato in Anno
Low-altitude aerial video surveillance via one-class svm anomaly detection from textural features in uav images INFORMATION 2022
Few-Shot Object Detection: A Survey ACM COMPUTING SURVEYS 2022
Study on Transfer Learning Capabilities for Pneumonia Classification in Chest-X-Rays Images COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022
Medicinal Boxes Recognition on a Deep Transfer Learning Augmented Reality Mobile Application Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
Analyzing EEG Data with Machine and Deep Learning: A Benchmark Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
R-SigNet: Reduced space writer-independent feature learning for offline writer-dependent signature verification PATTERN RECOGNITION LETTERS 2021
MIFTel: a multimodal interactive framework based on temporal logic rules MULTIMEDIA TOOLS AND APPLICATIONS 2020
An interactive and low-cost full body rehabilitation framework based on 3D Immersive Serious Games JOURNAL OF BIOMEDICAL INFORMATICS 2019
A shape comparison reinforcement method based on feature extractors and F1-Score 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) 2019
A Rover-based System for Searching Encrypted Targets in Unknown Environments Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, 2018
VRheab. A fully immersive motor rehabilitation system based on recurrent neural network MULTIMEDIA TOOLS AND APPLICATIONS 2018
Toward the future of surgery. An immersive, virtual-reality-based endoscopic prototype IEEE SYSTEMS, MAN, AND CYBERNETICS MAGAZINE 2018
A Machine Learning Approach for the Online Separation of Handwriting from Freehand Drawing ICIAP 2017: Image Analysis and Processing - ICIAP 2017 2017

Interessi di ricerca

Marco Raoul Marini received the B.Sc and the M.Sc. (cum laude) in Computer Science from Sapienza University, Rome, Italy, in 2013 and 2015. In 2019 he obtained the PhD in Computer Science and he is a member of the Computer Vision Laboratory in the Department of Computer Science at the same University. His research interests include Computer Vision, Human Behavior Analysis, 3D Modelling, Virtual and Augmented Reality, Multimodal Interaction, Natural Interaction, Machine Learning and Deep Learning. All these interests are focused to the development of systems applied to the problem of behavior understanding. He is a member of IEEE and CVPL.


computer vision
Human-Computer Interaction
Multimodal interaction
Natural interaction
virtual reality
augmented reality
deep learning

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