120 Open source projects that are alternatives of or similar to ntu-x

Keras implementation for Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition

Official PyTorch code for the ICIP 2021 paper 'Syntactically Guided Generative Embeddings For Zero Shot Skeleton Action Recognition'

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

Implementation of "EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition, ICCV, 2019" in PyTorch

Video Recognition using Mixed Convolutional Tube (MiCT) on PyTorch with a ResNet backbone

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

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".

Codes for popular action recognition models, verified on the something-something data set.

ActionVLAD for video action classification (CVPR 2017)

The official Codes for NeurIPS 2019 paper. Quanfu Fan, Ricarhd Chen, Hilde Kuehne, Marco Pistoia, David Cox, "More Is Less: Learning Efficient Video Representations by Temporal Aggregation Modules"

experiments on classifying actions using poses

Two-stream CNNs for video action recognition implemented in Keras

Surveillance System Against Violence

Temporal action proposals

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Spatio-Temporal Action Localization System

No description or website provided.

Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application

The collection of pre-trained, state-of-the-art AI models for ailia SDK

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

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

Action-Localization, Atomic Visual Actions (AVA) Dataset

Implementation Code of the paper Optical Flow Guided Feature, CVPR 2018

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

Count pushups from video/webcam. Tech stack: Keypoint detection, BlazePose, action recognition.

Action recognition with C3D network implemented in tensorflow

The official PyTorch implementation of "Context Matters: Self-Attention for sign Language Recognition"

No description or website provided.

[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

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…

Dataset and code for the paper "First-Person Hand Action Benchmark with RGB-D Videos and 3D Hand Pose Annotations", CVPR 2018.

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

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

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Temporal Convolutional Feature Pyramid Network (TCFPN) & Iterative Soft Boundary Assignment (ISBA), CVPR '18

A Python module to decode video frames directly, using the FFmpeg C API.

A public Python implementation for generating Dynamic Images introduced in 'Dynamic Image Networks for Action Recognition' by Bilen et al.

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

[BMVC 2018] iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection

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

[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

Code for AdaScan: Adaptive Scan Pooling (CVPR 2017)

PyTorch 3D video classification models pre-trained on 65 million Instagram videos

GUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.

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

REPresentAtion bIas Removal (REPAIR) of datasets

Data preparation and loader for AMASS

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

Video Platform for Action Recognition and Object Detection in Pytorch

Two Stream CNN implemented in Keras using in skeleton-based action recognition with dataset NTU RGB+D

Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"

An implementation of the LRCN in Torch

End-to-end Temporal Action Detection with Transformer. [Under review for a journal publication]

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

A Repository for maintaining various human skeleton preprocessing steps in numpy and tensorflow along with tensorflow model to learn pose embeddings.

[CVPR 2021] Multi-shot Temporal Event Localization: a Benchmark