Research and Programming Projects
All the projects I have been involved in until now are listed below
Automatic License Plate Recognition (Nvidia TAO + Deepstream Application + Python Bindings)
In this work, we develop an entire process for the Automatic License Plate Recognition (ALPR) system using mainly Nvidia TAO Toolkit and Nvidia Deepstream SDK using the Python Bindings. Continue reading Automatic License Plate Recognition (Nvidia TAO + Deepstream Application + Python Bindings)
Convolutional Neural Network Feature Extraction Using Covariance Tensor Decomposition (Open Access)
This work introduces a new algorithm based on multilinear algebra for feature extraction (Covariance Tensor Decomposition), which later is plugged into a CNN to perform classification. Continue reading Convolutional Neural Network Feature Extraction Using Covariance Tensor Decomposition (Open Access)
ACO Algorithm for Path Planning Using Random Walks and PCA Evaluation
This work proposes a promising method to initialize pheromones in an Ant Colony Optimization (ACO) algorithm through random walks and evaluate it through PCA. Continue reading ACO Algorithm for Path Planning Using Random Walks and PCA Evaluation
Studying Embedding Algorithms: Image2StyleGAN
This work aims to reproduce for further research algorithms to embed an image into StyleGAN latent space. Continue reading Studying Embedding Algorithms: Image2StyleGAN
Retro Video Game Programming Challenge - Game Jam 2020
Our team developed a retro video game in 48 hours using Unity3D to measure our expertise and continue improving on GMTK Game Jam 2020. Game Jam Topic: Out of Control Continue reading Retro Video Game Programming Challenge - Game Jam 2020
Path Planning Simulation in Controlled Environments using the Ant Colony Optimization Algorithm
The project aims to lay ACO promising methods to deal with a fundamental path planning problem. Continue reading Path Planning Simulation in Controlled Environments using the Ant Colony Optimization Algorithm
Segmentation and Counting of Grapes Bunches using MaskRCNN + Tracker DeepSort
In this work, we developed a system to segment and count grapes bunches using Mask RCNN, DeepSort Tracker, and a line crossing mechanism. After that, we extrapolate the counting information to satellite images to generate heat maps. Continue reading Segmentation and Counting of Grapes Bunches using MaskRCNN + Tracker DeepSort
Succesive Adaptive Linear Neuron Modeling for Finding Equidistant Real Roots
This project aims to implement a model to find equidistant real roots using a called Successive Adaptive Linear Neural Modeling. Continue reading Succesive Adaptive Linear Neuron Modeling for Finding Equidistant Real Roots
