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Juan Diego Ortega
Juan Diego Ortega
Research Engineer
Verified email at vicomtech.org
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Cited by
Year
Dmd: A large-scale multi-modal driver monitoring dataset for attention and alertness analysis
JD Ortega, N Kose, P Cañas, MA Chao, A Unnervik, M Nieto, O Otaegui, ...
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
802020
On creating vision-based advanced driver assistance systems
M Nieto, O Otaegui, G Vélez, JD Ortega, A Cortés
IET intelligent transport systems 9 (1), 59-66, 2014
292014
Detection of Distraction-related Actions on DMD: An Image and a Video-based Approach Comparison.
P Cañas, JD Ortega, M Nieto, O Otaegui
VISIGRAPP (5: VISAPP), 458-465, 2021
122021
Perspective multiscale detection of vehicles for real-time forward collision avoidance systems
JD Ortega, M Nieto, A Cortes, J Florez
Advanced Concepts for Intelligent Vision Systems: 15th International …, 2013
112013
Perspective multiscale detection and tracking of persons
M Nieto, JD Ortega, A Cortes, S Gaines
20th International Conference on Multimedia Modeling, 92-103, 2014
102014
User-adaptive Eyelid Aperture Estimation for Blink Detection in Driver Monitoring Systems.
JD Ortega, M Nieto, L Salgado, O Otaegui
VEHITS, 342-352, 2020
92020
The role of cloud-computing in the development and application of ADAS
C Olariu, JD Ortega, JJ Yebes
2018 26th European Signal Processing Conference (EUSIPCO), 1037-1041, 2018
62018
Efficient monocular point-of-gaze estimation on multiple screens and 3D face tracking for driver behaviour analysis
J Goenetxea, L Unzueta, U Elordi, JD Ortega, O Otaegui
6th International Conference on Driver Distraction and Inattention, 1-8, 2018
62018
Challenges of Large-Scale Multi-Camera Datasets for Driver Monitoring Systems
JD Ortega, PN Cañas, M Nieto, O Otaegui, L Salgado
Sensors 22 (7), 2554, 2022
42022
A Cloud-Based AI Framework for Machine Learning Orchestration: A “Driving or Not-Driving” Case-Study for Self-Driving Cars
C Olariu, H Assem, JD Ortega, M Nieto
2019 IEEE Intelligent Vehicles Symposium (IV), 1715-1722, 2019
42019
Person detection, tracking and masking for automated annotation of large CCTV datasets
M Nieto, P Leškovský, JD Ortega
Ubiquitous Computing and Ambient Intelligence. Personalisation and User …, 2014
42014
Optimization of Computer Vision Algorithms in Codesign Methodologies
M Nieto, JD Ortega, O Otaegui, A Cortes
21st ITS World Congress, Detroit, USA., 2014
32014
Automatic UAV-based airport pavement inspection using mixed real and virtual scenarios
P Alonso, JAI de Gordoa, JD Ortega, S García, FJ Iriarte, M Nieto
Fifteenth International Conference on Machine Vision (ICMV 2022) 12701, 361-372, 2023
22023
Open Your Eyes: Eyelid Aperture Estimation in Driver Monitoring Systems
JD Ortega, P Cañas, M Nieto, O Otaegui, L Salgado
Smart Cities, Green Technologies, and Intelligent Transport Systems, 165-189, 2020
22020
Semi-automatic Pipeline for Large-Scale Dataset Annotation Task: A DMD Application
T Urselmann, PN Cañas, JD Ortega, M Nieto
European Conference on Computer Vision, 560-574, 2022
12022
Virtual passengers for real car solutions: synthetic datasets
PN Canas, JD Ortega, M Nieto, O Otaegui
arXiv preprint arXiv:2205.06556, 2022
12022
A real-time software framework for driver monitoring systems: Software architecture and use cases
JD Ortega, M Nieto, P Cañas, O Otaegui, L Salgado
Real-Time Image Processing and Deep Learning 2021 11736, 76-88, 2021
12021
Constant-time monocular object detection using scene geometry
M Nieto, JD Ortega, P Leškovský, O Senderos
Pattern Analysis and Applications 21, 1053-1066, 2018
12018
Robust real-time driver drowsiness detection system for heterogeneous lighting conditions
L Varona, JD Ortega, P Leškovský, M Nieto
22st ITS World Congress, Bordeaux, France, 2015
1*2015
SAVASA project@ TRECVid 2013: semantic indexing and interactive surveillance event detection
S Little, I Jargalsaikhan, R Albatal, C Direkoglu, NE O'Connor, ...
NIST TRECVID Workshop 2013, 2013
2013
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