24 citations · 26 across the 4 of their papers we have counts for
5 papers
A Bifurcation-Based Domain Decomposition Method with Neural Operators for Blood Flow Simulation
Yuzhou Zhao, Han Zhang, J. Matias Di Martino +2
Fast and accurate simulation of hemodynamic behavior within vascular networks is essential for numerous clinical applications. However, obtaining high-quality and computationally e…
Nested Learning For Multi-Granular Tasks
Raphaël Achddou, J. Matias di Martino, Guillermo Sapiro
Standard deep neural networks (DNNs) are commonly trained in an end-to-end fashion for specific tasks such as object recognition, face identification, or character recognition, amo…
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method
J. Matias Di Martino, Fernando Suzacq, Mauricio Delbracio +2
Active illumination is a prominent complement to enhance 2D face recognition and make it more robust, e.g., to spoofing attacks and low-light conditions. In the present work we sho…
SalGaze: Personalizing Gaze Estimation Using Visual Saliency
Zhuoqing Chang, Matias Di Martino, Qiang Qiu +2
Traditional gaze estimation methods typically require explicit user calibration to achieve high accuracy. This process is cumbersome and recalibration is often required when there…
A new framework for optimal classifier design
Matías Di Martino, Guzman Hernández, Marcelo Fiori +1
The use of alternative measures to evaluate classifier performance is gaining attention, specially for imbalanced problems. However, the use of these measures in the classifier des…