56 Open source projects that are alternatives of or similar to R2Plus1D-C3D

Extract and visualize gait data

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STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)

Activity Recognition Algorithms for the Charades Dataset

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

C3D for Keras + TensorFlow

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MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Human Fall Detection from CCTV camera feed

Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)

Paper list of activity prediction and related area

HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20)

一些关于机器学习的学习资料与研究介绍

Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity

Temporal 3D ConvNet

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

HAKE-Action in PyTorch

As a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).

React Native wrapper for the Activity Recognition API.

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

Enhance your application with the ability to see and interact with humans using any RGB camera.

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

A curated list of action recognition and related area resources

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Personalized machine learning on the smartphone

Skeleton-based method for activity recognition problem

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

A curated list of egocentric (first-person) vision and related area resources

Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Pytorch implementation of the paper "Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points", F. Baradel, C. Wolf, J. Mille , G.W. Taylor, CVPR 2018

Realtime implemnetation of spatial-temporal local features

Inflated 3D ConvNets for video understanding

No description or website provided.

An Online Web Game "You Perform, I Guess!" based on C3D Model

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

Information of public available data sets for biomechanics.

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 result…

Action recognition with C3D network implemented in tensorflow

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Summary of open source code for deep learning models in the field of traffic prediction

ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently

An R package for space-time anomaly detection using scan statistics.

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

Visual Relation Grounding in Videos (ECCV'20, Spotlight)

Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series

Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.