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 | 98 | 2020 |
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 | 28 | 2014 |
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 | 15 | 2021 |
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 | 11 | 2013 |
Perspective multiscale detection and tracking of persons M Nieto, JD Ortega, A Cortes, S Gaines 20th International Conference on Multimedia Modeling, 92-103, 2014 | 10 | 2014 |
User-adaptive Eyelid Aperture Estimation for Blink Detection in Driver Monitoring Systems. JD Ortega, M Nieto, L Salgado, O Otaegui VEHITS, 342-352, 2020 | 9 | 2020 |
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 | 7 | 2022 |
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 | 6 | 2018 |
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 | 6 | 2018 |
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 | 4 | 2019 |
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 | 4 | 2014 |
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 | 3 | 2020 |
Optimization of Computer Vision Algorithms in Codesign Methodologies M Nieto, JD Ortega, O Otaegui, A Cortes 21st ITS World Congress, Detroit, USA., 2014 | 3 | 2014 |
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 | 2 | 2023 |
Virtual passengers for real car solutions: synthetic datasets PN Canas, JD Ortega, M Nieto, O Otaegui arXiv preprint arXiv:2205.06556, 2022 | 2 | 2022 |
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 | 2 | 2021 |
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 | 1 | 2022 |
Constant-time monocular object detection using scene geometry M Nieto, JD Ortega, P Leškovský, O Senderos Pattern Analysis and Applications 21, 1053-1066, 2018 | 1 | 2018 |
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 |