M
Miguel González-Mendoza
Researcher at Monterrey Institute of Technology and Higher Education
Publications - 111
Citations - 413
Miguel González-Mendoza is an academic researcher from Monterrey Institute of Technology and Higher Education. The author has contributed to research in topics: Computer science & Support vector machine. The author has an hindex of 8, co-authored 92 publications receiving 254 citations. Previous affiliations of Miguel González-Mendoza include Centre national de la recherche scientifique & Hoffmann-La Roche.
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Proceedings ArticleDOI
ShuffleFaceNet: A Lightweight Face Architecture for Efficient and Highly-Accurate Face Recognition
Yoanna Martindez-Diaz,Luis S. Luevano,Heydi Méndez-Vázquez,Miguel Nicolás-Díaz,Leonardo Chang,Miguel González-Mendoza +5 more
TL;DR: Inspired on the state-of-the-art ShuffleNetV2 model, a lightweight face architecture is presented in this paper, named ShuffleFaceNet, which introduces significant modifications in order to improve face recognition accuracy.
Journal ArticleDOI
Benchmarking lightweight face architectures on specific face recognition scenarios
Yoanna Martínez-Díaz,Miguel Nicolás-Díaz,Heydi Méndez-Vázquez,Luis S. Luevano,Leonardo Chang,Miguel González-Mendoza,Luis Enrique Sucar +6 more
TL;DR: This paper studies the impact of lightweight face models on real applications and evaluates the performance of five recent lightweight architectures on five face recognition scenarios: image and video based face recognition, cross-factor and heterogeneous face Recognition, as well as active authentication on mobile devices.
Journal ArticleDOI
Deep Learning System for Vehicular Re-Routing and Congestion Avoidance
TL;DR: A vehicle redirection system to avoid congestion is proposed that uses a model based on deep learning to predict the future state of the traffic network and is capable of reducing the average travel time by up to 19%, benefiting a maximum of 38% of the vehicles.
Journal ArticleDOI
Towards a ubiquitous user model for profile sharing and reuse.
TL;DR: This paper presents a dynamic user profile structure based in Simple Knowledge Organization for the Web (SKOS) to provide knowledge representation for ubiquitous user model and proposes a two-tier matching strategy for concept schemas alignment to enable user modeling interoperability.
Journal ArticleDOI
Monitoring Student Activities with Smartwatches: On the Academic Performance Enhancement
Oscar Herrera-Alcántara,Ari Yair Barrera-Animas,Miguel González-Mendoza,Félix Castro-Espinoza +3 more
TL;DR: The results of activity recognition with Random Forest were satisfactory and support the relationship between smartwatch sensor signals and daily-living activities of students which opens the possibility for developing future experiments with automatic activity-labeling.