118 citations · 162 across the 9 of their papers we have counts for
10 papers
Analysis of Classifier Training on Synthetic Data for Cross-Domain Datasets
Andoni Cortés, Clemente Rodríguez, Gorka Velez +2
A major challenges of deep learning (DL) is the necessity to collect huge amounts of training data. Often, the lack of a sufficiently large dataset discourages the use of DL in cer…
Automatic UAV-based Airport Pavement Inspection Using Mixed Real and Virtual Scenarios
Pablo Alonso, Jon Ander Iñiguez de Gordoa, Juan Diego Ortega +3
Runway and taxiway pavements are exposed to high stress during their projected lifetime, which inevitably leads to a decrease in their condition over time. To make sure airport pav…
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…
Efficient Large-Scale Face Clustering Using an Online Mixture of Gaussians
David Montero, Naiara Aginako, Basilio Sierra +1
In this work, we address the problem of large-scale online face clustering: given a continuous stream of unknown faces, create a database grouping the incoming faces by their ident…
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…
3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction
Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras +2
This paper presents a new approach to 3D object detection that leverages the properties of the data obtained by a LiDAR sensor. State-of-the-art detectors use neural network archit…