Mauricio Mendez-Ruiz

According to our database, Mauricio Mendez-Ruiz authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A survey on the pipeline evolution of facial capture and tracking for digital humans.

Carlos Vilchis, Carmina Pérez-Guerrero, Mauricio Mendez-Ruiz, Miguel González-Mendoza

Multim. Syst., August, 2023

Modelos 3D de reconstrucción facial: Una breve revisión.

Victor Hernández-Manrique, Miguel González-Mendoza, Carlos Vilchis, Mauricio Mendez-Ruiz, Carmina Pérez-Guerrero

Res. Comput. Sci., 2023

SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification.

Mauricio Mendez-Ruiz, Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz

CoRR, 2023

Benchmark Analysis for Backbone Optimization in a Facial Reconstruction Model.

Victor Hernández-Manrique, Miguel González-Mendoza, Carlos Vilchis, Mauricio Mendez-Ruiz, Carmina Pérez-Guerrero

Proceedings of the Advances in Computational Intelligence, 2023

2022

On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification.

Mauricio Mendez-Ruiz, Francisco Javier Lopez-Tiro, Jonathan El Beze, Vincent Estrade, Gilberto Ochoa-Ruiz, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul

CoRR, 2022

On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.

Mauricio Mendez-Ruiz, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul

Proceedings of the Advances in Computational Intelligence, 2022

Guided Deep Metric Learning.

Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Finding Significant Features for Few-Shot Learning Using Dimensionality Reduction.

Mauricio Mendez-Ruiz, Ivan Garcia, Jorge Gonzalez-Zapata, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez

Proceedings of the Advances in Computational Intelligence, 2021