rafaelvareto
AI/ML Researcher at Samsung | PhD Student at UFMG | Machine Learning, Computer Vision and Data Science
Universidade Federal de Minas GeraisCampinas, SP - Brazil
Pinned Repositories
HPLS-HFCN-openset
Paper: Towards Open-Set Face Recognition using Hashing Functions (IJCB'17)
HPLS-verification
Paper: Face Verification based on Relational Disparity Features and Partial Least Squares Models (SIBGRAPI'17)
maximal-entropy-loss
OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.
segmentation-loss
SegLoss: This repository discloses cost functions designed for the semantic segmentation tasks, namely, Active Boundary Loss, Boundary Loss and Distance Trasform Loss.
Spoofing-CIARP19
Paper: Face Spoofing Detection on Low-Power Devices using Embeddings with Spatial and Frequency-based Descriptors (CIARP'19)
rafaelvareto's Repositories
rafaelvareto/HPLS-HFCN-openset
Paper: Towards Open-Set Face Recognition using Hashing Functions (IJCB'17)
rafaelvareto/Spoofing-CIARP19
Paper: Face Spoofing Detection on Low-Power Devices using Embeddings with Spatial and Frequency-based Descriptors (CIARP'19)
rafaelvareto/maximal-entropy-loss
OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.
rafaelvareto/checkpoints
Repository storing network checkpoints/weights for Face Recognition.
rafaelvareto/Databases
Datasets for Face Recognition
rafaelvareto/getpubfig
Quick hack to download and verify pubfig face recognition dataset
rafaelvareto/HPLS-verification
Paper: Face Verification based on Relational Disparity Features and Partial Least Squares Models (SIBGRAPI'17)
rafaelvareto/ppgccufmg-2
Uma classe LaTeX para dissertações, teses e propostas do Programa de Pós-Graduação em Ciência da Computação (PPGCC) da Universidade Federal de Minas Gerais (UFMG).
rafaelvareto/segmentation-loss
SegLoss: This repository discloses cost functions designed for the semantic segmentation tasks, namely, Active Boundary Loss, Boundary Loss and Distance Trasform Loss.
rafaelvareto/SSAT
SSAT is presently an in-progress project of a free and interactive annotation tool for the computer vision community, it eases the way researchers can annotate data from massive video datasets.