50 citations · 80 across the 7 of their papers we have counts for
8 papers
Hadamard Layer to Improve Semantic Segmentation
Angello Hoyos, Mariano Rivera
The Hadamard Layer, a simple and computationally efficient way to improve results in semantic segmentation tasks, is presented. This layer has no free parameters that require to be…
AxonNet: A self-supervised Deep Neural Network for Intravoxel Structure Estimation from DW-MRI
Hanna Ehrlich, Mariano Rivera
We present a method for estimating intravoxel parameters from a DW-MRI based on deep learning techniques. We show that neural networks (DNNs) have the potential to extract informat…
Two-Step Phase Shifting Algorithms: Where Are We?
Víctor H. Flores, Alan Reyes-Figueroa, César Carrillo-Delgado +1
Two steps phase shifting interferometry has been a hot topic in the recent years. We present a comparison study of 12 representative self--tunning algorithms based on two-steps pha…
Deep neural network for fringe pattern filtering and normalisation
Alan Reyes-Figueroa, Mariano Rivera
We propose a new framework for processing Fringe Patterns (FP). Our novel approach builds upon the hypothesis that the denoising and normalisation of FPs can be learned by a deep n…
Robust Two-Step phase estimation using the Simplified Lissajous Ellipse Fitting method with Gabor Filter Banks preprocessing
Victor H. Flores, Mariano Rivera
We present the Simplified Lissajous Ellipse Fitting (SLEF) method for the calculation of the random phase step and the phase distribution from two phase-shifted interferograms. We…
Computation of the phase step between two-step fringe patterns based on Gram--Schmidt algorithm
Víctor H. Flores, Mariano Rivera
We present the evaluation of a closed form formula for the calculation of the original step between two randomly shifted fringe patterns. Our proposal extends the Gram--Schmidt ort…