Starter code for working with the YouTube-8M dataset.
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Updated
Feb 18, 2017 - Python
Starter code for working with the YouTube-8M dataset.
Implementation of Motion Influence Map Technique for Video Classification in Apache Spark's Map Reduce Framework.
Code for my entry in the Youtube8M Kaggle competition. Currently exploring applications to other video based problems
Video classification tools using 3D ResNet
Implementation of https://arxiv.org/abs/1412.0767 using pytorch and keras.
Extract features from video file as the format in Youtube-8M
Temporal 3D ConvNet
Experiments for my Research and Master's Thesis
Action recognition with C3D network implemented in tensorflow
Various implementations and projects on CNN, RNN, LSTM, GAN, etc
Pseudo-3D Residual Networks
Video Action Classification Using Spatial Temporal Clues. Original paper: arXiv:1504.01561
Action Recognition using Convolutional Neural Network (CNN)
Machine learning for multimedia
Video classification in TensorFlow using Mask R-CNN. This project is built upon https://github.com/matterport/Mask_RCNN. The dataset used to train Mask R-CNN has been built with LabelBox, the video classification has been done with an LSTM that classifies activities taken from a subset of ActivityNet dataset (Gymnastics activities). This reposit…
The 2nd YouTube-8M Video Understanding Challenge
Sign Language Recognition for Deaf People
TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification".
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