fabiocarrara

cbigan-ad

Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'

deep-parking

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

diqm

expman

Tiny experiment manager for machine learning

features-adversarial-det

Detect adversarial images from intermediate features in distance space

meye

A deep-learning-based web tool for translational and real-time pupillometry

mocap

Code to reproduce experiments in 'LSTM-based real-time action detection and prediction in human motion streams'

neural-ode-features

Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial examples

pyffe

A small Python wrapper to setup, run, manage, and monitor experiments based on Caffe.

visual-sentiment-analysis

PyTorch port of models for Visual Sentiment Analysis pre-trained on the T4SA dataset.

fabiocarrara/deep-parking

Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.

fabiocarrara/visual-sentiment-analysis

PyTorch port of models for Visual Sentiment Analysis pre-trained on the T4SA dataset.

fabiocarrara/cbigan-ad

Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'

fabiocarrara/meye

A deep-learning-based web tool for translational and real-time pupillometry

fabiocarrara/mocap

Code to reproduce experiments in 'LSTM-based real-time action detection and prediction in human motion streams'

fabiocarrara/neural-ode-features

Pytorch code to train image classifiers based on ODE Nets on MNIST and CIFAR-10, extract features and test robustness to adversarial examples

fabiocarrara/features-adversarial-det

Detect adversarial images from intermediate features in distance space

fabiocarrara/pyffe

A small Python wrapper to setup, run, manage, and monitor experiments based on Caffe.

fabiocarrara/diqm

fabiocarrara/expman

Tiny experiment manager for machine learning

fabiocarrara/node-forensic-adversarial

Increasing Adversarial Robustness of Neural ODEs in Image Forensic Tasks (PyTorch)

fabiocarrara/ir-bench

Benchmarking and evaluation code for image retrieval in Python + Dask and implementation of Surrogate Text Representation and Indexing

fabiocarrara/rmac-extractor

R-MAC Image Descriptor Extractor including Docker image with REST API.

fabiocarrara/edgemac-extractor

EdgeMAC image representation extractor for sketch-based image retrieval (Caffe models ported from original MatConvNet model)

fabiocarrara/gw-glitches

Gravitational Waves Noise Glitches Classification using Deep Learning

fabiocarrara/mocap-vae-features

Unsupervised feature learning of motion caption data using Variational Autoencoders.

fabiocarrara/pivoted-estimation

Code to reproduce 'Learning Distance Estimators from Pivoted Embeddings of Metric Objects'.

fabiocarrara/str-encoders

Surrogate Text Representation Encoders for Real Vectors

fabiocarrara/web-cv

A web CV template written in Bootstrap

fabiocarrara/adversarial-detection

fabiocarrara/bio-pattern-nets

Convolutional Neural Networks for Biological Pattern Scoring

fabiocarrara/cat2vec

fabiocarrara/chord-struct

fabiocarrara/cross-modal-visual-sentiment-analysis

Code to reproduce "The Emotions of the Crowd: Learning Image Sentiment from Tweets via Cross-modal Distillation". This project trains visual models for Sentiment Analysis in the Twitter domain using a cross-modal student-teacher approach.

fabiocarrara/deep-raspi-face

Deployment code for the system described in the paper "Facial-based Intrusion Detection System with Deep Learning in Embedded Devices"

fabiocarrara/mbd-dlmra

Material for the Deep Learning for Multimedia Retrieval and Analysis (DLMRA) course - Master in Big Data (MBD) of the University of Pisa

fabiocarrara/neural-ode-experiments

fabiocarrara/papyrus-matching

fabiocarrara/phd-thesis

Fabio Carrara's PhD Dissertation - Computer Engineering - University of Pisa

fabiocarrara/VBS23-Post-Hoc-Analysis

Shared code for the post-hoc analysis of Video Browser Showdown 2023