cantonioupao/cervical_cancer_detection

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Python
Created about 5 years ago
Updated almost 5 years ago

cantonioupao/cervical_cancer_detection

cantonioupao

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A deep learning framework for cervical cancer detection to allow improved accuracy for PAP smear test results

pytorch-human_action_recognition_breakfast_dataset-C3D_model_implementation

This repository implements the Breakfast Action Dataset in Pytorch and aims to achieve a high human action recognition using the C3D model

face-depth-3D-reconstruction

This is the repository for the face depth regressor implementation. Given a single-view input image, the neural network regressor, predicts dense depth pixel values, and achieves 3D reconstruction of the entire face. The model is trained on synthetic EG3D generated data.

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generate-synthetic-face-data

This repository, generates photorealistic face synthetic data, as well as the the corresponding depthmaps and 3D face structure/mesh

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3d-virtual-chatbot

This is the repository for the master thesis project of a 3D virtual chatbot

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multimodal-driving-data

This is part of the DLAD (Deep Learning for Autonomous Driving) course from ETH. This is part of the 1st project that aims to deepen the understanding on multimodal driving data

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3d-player-pose-estimation

This is a novel implementation of 3D player pose estimation, using the so called Super Triangulation method, to find pose correspondences in multi-view streams and perform the 3D reconstruction

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eg3d-code-regressor

Given a single'view face image, our regressor model predicts the intermediate latent code w of the EG3D generator model.

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MTCNN-KerasForMCU

This is a Keras implementation (Python) of a tweaked version of MTCNN for suitable MCU deployment

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