activity
20222026
most citedAn FPGA smart camera implementation of segmentation models for drone wildfire imagery

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

A reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model

Gerardo Valente Vazquez-Garcia, Carmina Perez Guerrero, Eduardo Garduño +7

In this work we present a novel framework for fire safety management in industrial settings through the implementation of a smart camera platform for jet flames characterization. T…

cs.LG2024

Configuration Interaction Guided Sampling with Interpretable Restricted Boltzmann Machine

Jorge I. Hernandez-Martinez, Andres Mendez-Vazquez, Gerardo Rodriguez-Hernandez +1

We propose a data-driven approach using a Restricted Boltzmann Machine (RBM) to solve the Schrödinger equation in configuration space. Traditional Configuration Interaction (CI) me…

cs.CV2023★ 2 cited

An FPGA smart camera implementation of segmentation models for drone wildfire imagery

Eduardo Guarduño-Martinez, Jorge Ciprian-Sanchez, Gerardo Valente +5

Wildfires represent one of the most relevant natural disasters worldwide, due to their impact on various societal and environmental levels. Thus, a significant amount of research h…

eess.IV2022

Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures

Pablo Cesar Quihui-Rubio, Gilberto Ochoa-Ruiz, Miguel Gonzalez-Mendoza +2

Prostate cancer is the second-most frequently diagnosed cancer and the sixth leading cause of cancer death in males worldwide. The main problem that specialists face during the dia…

cs.CV2022

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…