MIVIA Lab
Mivia is a research Lab of the University of Salerno active in the fields of Pattern Recognition and Computer Vision
Fisciano (SA)
Pinned Repositories
AgeEstimationFramework
Effective training of convolutional neural networks for age estimation based on knowledge distillation
command_recognition
ciao
DEGramNet
This repository contains the code related to the paper "DEGramNet: Effective audio analysis based on a fully learnable time-frequency representations".
DENet
This repository contains the code related to the paper 'DENet: a deep architecture for audio surveillance applications'.
emotion-robustness
FireDetectionSurvey2023
This is the repository associated to the paper: "Fire and smoke detection from camera images: a literature review under a novel taxonomy"
GenderRecognitionFramework
vf2lib
VF2 - Subgraph Isomorphism
vf3-parallel
A parallel version of VF3.
vf3lib
VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs
MIVIA Lab's Repositories
MiviaLab/vf3lib
VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs
MiviaLab/vf2lib
VF2 - Subgraph Isomorphism
MiviaLab/DENet
This repository contains the code related to the paper 'DENet: a deep architecture for audio surveillance applications'.
MiviaLab/AgeEstimationFramework
Effective training of convolutional neural networks for age estimation based on knowledge distillation
MiviaLab/emotion-robustness
MiviaLab/vf3-parallel
A parallel version of VF3.
MiviaLab/DEGramNet
This repository contains the code related to the paper "DEGramNet: Effective audio analysis based on a fully learnable time-frequency representations".
MiviaLab/GenderRecognitionFramework
MiviaLab/command_recognition
ciao
MiviaLab/FireDetectionSurvey2023
This is the repository associated to the paper: "Fire and smoke detection from camera images: a literature review under a novel taxonomy"
MiviaLab/gesture-recognition
MiviaLab/Joint-Intensity-Classification-and-Segmentation-HEp-2-Images
Repository of the model, loss, training and testing script of the framework for joint Intensity Classification and Specimen Segmentation of HEp-2 images.