9 citations · 33 across the 14 of their papers we have counts for
9 papers · 1 filter
Isolated Sign Language Recognition based on Tree Structure Skeleton Images
David Laines, Gissella Bejarano, Miguel Gonzalez-Mendoza +1
Sign Language Recognition (SLR) systems aim to be embedded in video stream platforms to recognize the sign performed in front of a camera. SLR research has taken advantage of recen…
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations
Daniel Flores-Araiza, Francisco Lopez-Tiro, Jonathan El-Beze +4
Identifying the type of kidney stones can allow urologists to determine their cause of formation, improving the prescription of appropriate treatments to diminish future relapses.…
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies
Elias Villalvazo-Avila, Francisco Lopez-Tiro, Jonathan El-Beze +4
This contribution presents a deep learning method for the extraction and fusion of information relating to kidney stone fragments acquired from different viewpoints of the endoscop…
Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach
Carmina Pérez-Guerrero, Jorge Francisco Ciprián-Sánchez, Adriana Palacios +5
Among the different kinds of fire accidents that can occur during industrial activities that involve hazardous materials, jet fires are one of the lesser-known types. This is becau…
Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods
Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz +4
Jet fires are relatively small and have the least severe effects among the diverse fire accidents that can occur in industrial plants; however, they are usually involved in a proce…
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
Mario Alberto Duran-Vega, Miguel Gonzalez-Mendoza, Leonardo Chang +1
Timely handgun detection is a crucial problem to improve public safety; nevertheless, the effectiveness of many surveillance systems still depends of finite human attention. Much o…
Comparing Machine Learning based Segmentation Models on Jet Fire Radiation Zones
Carmina Pérez-Guerrero, Adriana Palacios, Gilberto Ochoa-Ruiz +3
Risk assessment is relevant in any workplace, however there is a degree of unpredictability when dealing with flammable or hazardous materials so that detection of fire accidents b…
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
Cuauhtemoc Daniel Suarez-Ramirez, Miguel Gonzalez-Mendoza, Leonardo Chang-Fernandez +2
The optimization of Binary Neural Networks (BNNs) relies on approximating the real-valued weights with their binarized representations. Current techniques for weight-updating use t…
FIRe-GAN: A novel Deep Learning-based infrared-visible fusion method for wildfire imagery
J. F. Ciprián-Sánchez, G. Ochoa-Ruiz, M. Gonzalez-Mendoza +1
Early wildfire detection is of paramount importance to avoid as much damage as possible to the environment, properties, and lives. Deep Learning (DL) models that can leverage both…