A Simple Three Dimensional Convolutional Neural Networks approach
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Updated
Mar 6, 2020 - Python
A Simple Three Dimensional Convolutional Neural Networks approach
Hand Gesture Recognition using Deep Learning Framework
Repository processes CT scanned images of human Lungs , which are in DICOM image format. Visualises the data in 3D and trains a 3D convolution network on the data after preprocessing.
A python class compatible with TensorFlow to perform data augmentation on 3D objects during CNN training.
An experimental project for autonomous vehicle driving perception with steering angle prediction and semantic segmentation using a combination of UNet, attention and transformers.
Experiments for the article "A Comparison of Neural Networks for Sign Language Recognition with LSA64" (JCC 2021)
The objective of this project is to recognize hand gestures using state-of-the-art neural networks.
Fight Detection From Surveillance Cameras by fine-tuning a PyTorch Pretrained Model
Imagine you are working as a data scientist at a home electronics company which manufactures state of the art smart televisions. You want to develop a cool feature in the smart-TV that can recognize five different gestures performed by the user which will help users control the TV without using a remote.
Data science Mini projects
Gender classification on 3D IXI Brain MRI dataset with Keras and Tensorflow
Develop a cool feature in the smart-TV that can recognise five different gestures performed by the user which will help users control the TV without using a remote.
어린이집 CCTV로 학대상황 감지
My team partner and I did this project where we developed a feature in a company’s smart TV that can recognise five different predetermined gestures performed by the user, which will help users control the TV without using a remote.
Real-Time Visual Speech and Emotion Recognition (ViSpEr) an end-to-end neural network for the low-resource visual speech and facial emotion recognition task, using 3D CNNs and LSTMs
Develop a conv3D model that can recognise five different gestures performed by the user which will help users control the TV without using a remote
Hand gesture recognition using convolutional neural network and recurrent neural network
lock mechanism with face recognition and liveness detection
This repository contains my personal code for the paper Learning Spatiotemporal Features with 3D Convolutional Networks by Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri.
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