CS 838 Learning Based Methods in Computer Vision
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Updated
Nov 5, 2019 - Jupyter Notebook
CS 838 Learning Based Methods in Computer Vision
Violence Detection in Surveillance from Drones
This repository contains the deployment of several modules used for the project ErgoCub
Designing a 3D CNN architecture for action recognition in video
Action temporal label tool, for pose skeleton based CNN action recognition etc.
Master Internship project
Action recognition using LSTM
基于跨尺度图对比学习的人体骨架动作识别方法(Cross-Scale Graph Contrastive Learning framework for Skeleton-based action Representation, CrosScale-SGCLR)
Navigate Youtube passively, skip ads and non-interesting fragments of interesting videos - per topic or from watch list
PyTorch implementation of a Relational Attention-Based Model for Group Activity Recognition — inspired by "A Hierarchical Deep Temporal Model for Group Activity Recognition (arXiv:1511.06040v2)"
Code for VideoSSL: Semi-Supervised Learning for Video Classification.
AVT Dissertation Research, Architecture used for AVT experimentation, mainly with backbone model and attention heads.
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
Code for the ICPR2020 Oral paper "Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning"
Use 45 Feature to recognition the class of the action.
Final project for Nile university CIT-651 Machine learning class - Fall 19
Dataset repository of "MetaVD: A Meta Video Dataset for enhancing human action recognition datasets."
Implemented a CNN-LSTM Action Recognizer for dynamic motion analysis, integrating convolutional and recurrent neural networks to efficiently recognize and classify actions in video data of UCF101 dataset.
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