7 citations · 9 across the 4 of their papers we have counts for
7 papers
Virtual passengers for real car solutions: synthetic datasets
Paola Natalia Canas, Juan Diego Ortega, Marcos Nieto +1
Strategies that include the generation of synthetic data are beginning to be viable as obtaining real data can be logistically complicated, very expensive or slow. Not only the cap…
RTMaps-based Local Dynamic Map for multi-ADAS data fusion
Marcos Nieto, Mikel Garcia, Itziar Urbieta +1
Work on Local Dynamic Maps (LDM) implementation is still in its early stages, as the LDM standards only define how information shall be structured in databases, while the mechanism…
5G Features and Standards for Vehicle Data Exploitation
Gorka Velez, Edoardo Bonetto, Daniele Brevi +6
Cars capture and generate huge volumes of data in real-time about the driving dynamics, the environment, and the driver and passengers' activities. Due to the proliferation of coop…
MFR 2021: Masked Face Recognition Competition
Fadi Boutros, Naser Damer, Jan Niklas Kolf +32
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attra…
Boosting Masked Face Recognition with Multi-Task ArcFace
David Montero, Marcos Nieto, Peter Leskovsky +1
In this paper, we address the problem of face recognition with masks. Given the global health crisis caused by COVID-19, mouth and nose-covering masks have become an essential ever…
DMD: A Large-Scale Multi-Modal Driver Monitoring Dataset for Attention and Alertness Analysis
Juan Diego Ortega, Neslihan Kose, Paola Cañas +5
Vision is the richest and most cost-effective technology for Driver Monitoring Systems (DMS), especially after the recent success of Deep Learning (DL) methods. The lack of suffici…