Classification of Sober and Intoxicated Faces using Image Analysis
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Updated
May 15, 2024 - Python
Classification of Sober and Intoxicated Faces using Image Analysis
it is our solutions to the parallel computing labs taught in college 🧮🖥️
3D pose estimation of mushrooms from pointcloud - trained on synthetic data
Thesis name: Comparative evaluation of deep neural networks for automatic detection of violence scenes within videos
Gait Recognition with 3D CNN. This project proposes a novel approach using 3D convolutional neural networks (3D CNN) to capture spatio-temporal features of gait sequences for robust recognition in an un-intrusive manner.
PyTorch Volume Models for 3D data
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
MinkLoc3D: Point Cloud Based Large-Scale Place Recognition
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
Deep Negative Volume Segmentation - automated 3D CT segmentation of body joints for dentistry
A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
Estimating brain activity for a stimulus as measured by fMRI using a volumetric conditional Generative Adversarial Network (GAN) model.
lock mechanism with face recognition and liveness detection
Tools for MRI classification of Alzheimer's disease using 3D CNN networks
Pseudo-3D CNN networks in PyTorch.
Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems
Year 3 Group Project in collaboration with IBM
Group Project in Collaboration with IBM
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