Classification of Sober and Intoxicated Faces using Image Analysis
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Updated
Jun 7, 2024 - Python
Classification of Sober and Intoxicated Faces using Image Analysis
PyTorch Volume Models for 3D data
Inflated i3d network with inception backbone, weights transfered from tensorflow
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.
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
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