davide-coccomini

Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection

Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.

Deepfake-Detection-Challenge-DFAD2023

Implementation of the winning solution for the Media Analytics Challenge 2023.

Detecting-Images-Generated-by-Diffusers

Fanta-GOT

Fanta-GOT is an online game based on Game of Thrones.

GAN-Universe

This repository contains part of the code used to make the images visible in the article "How does an AI Imagine the Universe?" published on Towards Data Science.

MINTIME-Multi-Identity-size-iNvariant-TIMEsformer-for-Video-Deepfake-Detection

Code for Video Deepfake Detector from "MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection", paper available on IEEE Transactions on Information Forensics and Security.

ml-checklist

This tool can be used while you are working on a research project or at the end of it to make sure that you have done everything correctly and rigorously. The system will return a score for each of the four parameters taken into account, namely Robustness, Rigorousness, Completeness and Comparability.

Predicting-Tornadoes-days-ahead-with-Machine-Learning

This is the official repository of the paper "Predicting Tornadoes days ahead with Machine Learning" and is designed to allow other researchers to reproduce the results presented in the paper but also to exploit the dataset for their own experiments. Within this repository there are also a number of additional files used in the research phase to explore the effectiveness of various approaches.

Runtics

A mobile game brain teaser developed using React Native and React Redux.

TimeSformer-Video-Classification

The notebook explains the various steps to obtain the results of publication: "Is Space-Time Attention All You Need for Video Understanding?"

davide-coccomini/Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection

Code for Video Deepfake Detection model from "Combining EfficientNet and Vision Transformers for Video Deepfake Detection" presented at ICIAP 2021.

davide-coccomini/MINTIME-Multi-Identity-size-iNvariant-TIMEsformer-for-Video-Deepfake-Detection

Code for Video Deepfake Detector from "MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection", paper available on IEEE Transactions on Information Forensics and Security.

davide-coccomini/TimeSformer-Video-Classification

The notebook explains the various steps to obtain the results of publication: "Is Space-Time Attention All You Need for Video Understanding?"

davide-coccomini/Detecting-Images-Generated-by-Diffusers

davide-coccomini/Deepfake-Detection-Challenge-DFAD2023

Implementation of the winning solution for the Media Analytics Challenge 2023.

davide-coccomini/GAN-Universe

This repository contains part of the code used to make the images visible in the article "How does an AI Imagine the Universe?" published on Towards Data Science.

davide-coccomini/ml-checklist

This tool can be used while you are working on a research project or at the end of it to make sure that you have done everything correctly and rigorously. The system will return a score for each of the four parameters taken into account, namely Robustness, Rigorousness, Completeness and Comparability.

davide-coccomini/LSDataBase

Large Scale Database Working Group

davide-coccomini/Cross-Forgery-Analysis-of-Vision-Transformers-and-CNNs-for-Deepfake-Image-Detection

Code for the paper Cross Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection

davide-coccomini/Deepfake-Detection-without-Deepfakes-Generalization-via-Synthetic-Frequency-Patterns-Injection

davide-coccomini/Internet-of-Things-Smart-Home

davide-coccomini/KMeans-MapReduce

Distributed development applied to KMeans clustering algorithm using Hadoop and Spark.

davide-coccomini/Publication-Tracker

Software to allow people to explore the information about authors and their publications, using a graph database with Neo4j and data scraped from Google Scholar.

davide-coccomini/Adversarial-Magnification-to-Deceive-Deepfake-Detection-through-Super-Resolution

Official code for the paper "Adversarial Magnification to Deceive Deepfake Detection through Super Resolution"

davide-coccomini/Coronavirus-Data-Visualization

davide-coccomini/Cross-Forgery-Video-Deepfake-Detection

Code for paper "On the Generalization of Deep Learning Models in Video Deepfake Detection"

davide-coccomini/Everli-Calculator

davide-coccomini/Fanta-GOT

Fanta-GOT is an online game based on Game of Thrones.

davide-coccomini/Predicting-Tornadoes-days-ahead-with-Machine-Learning

This is the official repository of the paper "Predicting Tornadoes days ahead with Machine Learning" and is designed to allow other researchers to reproduce the results presented in the paper but also to exploit the dataset for their own experiments. Within this repository there are also a number of additional files used in the research phase to explore the effectiveness of various approaches.

davide-coccomini/Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

davide-coccomini/Client-Server-messaging

A messaging system that allows the exchange of messages between different users

davide-coccomini/Convolutional-Neural-Network-for-Medical-Imaging-Analysis-Abnormality-detection-in-mammography

Classifiers trained to distinguish between masses and calcifications within mammograms and classifiers able to distinguish whether masses and calcifications are malignant or benign.

davide-coccomini/davide-coccomini.github.io

davide-coccomini/dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

davide-coccomini/GAN-Cars-Generator

davide-coccomini/Generative-model-most-similar-images

Function that output the 5 most similar training (real) images to the given generated (fake) images.

davide-coccomini/gnocchi-api

davide-coccomini/GTA-V-Objects

davide-coccomini/HashCode-2021

Python program to efficiently schedule traffic lights in a simulated road network, developed for Hash Code 2021

davide-coccomini/davide-coccomini