PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.

C3D is a modified version of BVLC caffe to support 3D ConvNets.

C3D is a modified version of BVLC tensorflow to support 3D ConvNets.

Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis

Pytorch porting of C3D network, with Sports1M weights

C3DPO - Canonical 3D Pose Networks for Non-rigid Structure From Motion.

code for R-C3D

R-C3D pytorch implementation

Video Platform for Action Recognition and Object Detection in Pytorch

Real-World Anomaly Detection in Surveillance Videos

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

Easy to use C3D reader/writer for C++, Python and Matlab

Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction

Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN

Pytorch C3D feature extractor

train C3D with keras for action recognition

Read & write C3D mocap files

A one stop shop for all of your activity recognition needs.

Information of public available data sets for biomechanics.

tensorflow real time video action recognition based on C3D https://arxiv.org/abs/1412.0767

Violence Detection using 3D Convolutional Neural Networks

No description available

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks

Repository for c3dl (Canvas 3D JS Library). See wiki for related links

pytorch

Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]

Pytorch 3DNet attention feature map Visualization by [Cam](https://arxiv.org/abs/1512.04150); C3D, R3D, I3D, MF Net is support now!

A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"

My experimentation around action recognition in videos. Contains Keras implementation for C3D network based on original paper "Learning Spatiotemporal Features with 3D Convolutional Networks", Tran et al. and it includes video processing pipelines coded using mPyPl package. Model is being benchmarked on popular UCF101 dataset and achieves results similar to those reported by authors