Trending repositories for topic action-recognition

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included...

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Data preparation and loader for AMASS

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

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

A curated paper list of awesome skeleton-based action recognition.

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

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

Applying Deep Learning Approaches to Volleyball Data

A list of Human-Object Interaction Learning.

A toolbox for skeleton-based action recognition.

Video Foundation Models & Data for Multimodal Understanding

3D ResNets for Action Recognition (CVPR 2018)

CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included...

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Applying Deep Learning Approaches to Volleyball Data

A curated paper list of awesome skeleton-based action recognition.

Data preparation and loader for AMASS

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

A list of Human-Object Interaction Learning.

A toolbox for skeleton-based action recognition.

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

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

Video Foundation Models & Data for Multimodal Understanding

3D ResNets for Action Recognition (CVPR 2018)

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included...

Video Foundation Models & Data for Multimodal Understanding

A curated paper list of awesome skeleton-based action recognition.

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

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

3D ResNets for Action Recognition (CVPR 2018)

Data preparation and loader for AMASS

A toolbox for skeleton-based action recognition.

A curated list of action recognition and related area resources

Gluon CV Toolkit

Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.

A list of Human-Object Interaction Learning.

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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

[CVPR2023] Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning (https://arxiv.org/abs/2212.04500)

Applying Deep Learning Approaches to Volleyball Data

This repository host the code for real-time action detection paper

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

CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included...

A curated paper list of awesome skeleton-based action recognition.

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

[CVPR2023] Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning (https://arxiv.org/abs/2212.04500)

Video Foundation Models & Data for Multimodal Understanding

Applying Deep Learning Approaches to Volleyball Data

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Data preparation and loader for AMASS

Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.

A list of Human-Object Interaction Learning.

A toolbox for skeleton-based action recognition.

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

This repository host the code for real-time action detection paper

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

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

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

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

3D ResNets for Action Recognition (CVPR 2018)

A curated list of action recognition and related area resources

Video Foundation Models & Data for Multimodal Understanding

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included...

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

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

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

A curated paper list of awesome skeleton-based action recognition.

A toolbox for skeleton-based action recognition.

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

A curated list of action recognition and related area resources

Data preparation and loader for AMASS

Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video taggi...

3D ResNets for Action Recognition (CVPR 2018)

A list of Human-Object Interaction Learning.

Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.

Gluon CV Toolkit

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

An open-source toolbox for action understanding based on PyTorch

deep learning sex position classifier

Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]

CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included...

Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]

Video Foundation Models & Data for Multimodal Understanding

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

A curated paper list of awesome skeleton-based action recognition.

SoccerNet@CVPR | 1st place solution for Ball Action Spotting Challenge 2023

FedMultimodal

Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.

Applying Deep Learning Approaches to Volleyball Data

SoccerAct10 is a dataset which contains 10 different soccer actions. This dataset was developed using the videos from YouTube.

Laparoscopic video dataset for surgical action triplet recognition

deep learning sex position classifier

[CVPR2022] Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding

Data preparation and loader for AMASS

A toolbox for skeleton-based action recognition.

[CVPR2023] Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning (https://arxiv.org/abs/2212.04500)

[CVPR 2023] STMixer: A One-Stage Sparse Action Detector

A list of Human-Object Interaction Learning.

Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.

【CVPR'2023】Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models

CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included...

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Video Foundation Models & Data for Multimodal Understanding

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

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included...

A toolbox for skeleton-based action recognition.

A curated paper list of awesome skeleton-based action recognition.

Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video taggi...

A curated list of action recognition and related area resources

3D ResNets for Action Recognition (CVPR 2018)

Gluon CV Toolkit

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

Data preparation and loader for AMASS

【CVPR'2023】Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models

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

A list of Human-Object Interaction Learning.

Apply ML to the skeletons from OpenPose; 9 actions; multiple people. (WARNING: I'm sorry that this is only good for course demo, not for real world applications !!! Those ary very difficult !!!)

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

【AAAI'2023 & IJCV】Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective

FedMultimodal

【CVPR'2023】Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models

A curated paper list of awesome skeleton-based action recognition.

[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

Video Foundation Models & Data for Multimodal Understanding

Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]

[CVPR2023] Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning (https://arxiv.org/abs/2212.04500)

【AAAI'2023 & IJCV】Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective

[CVPR2022] Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding

Applying Deep Learning Approaches to Volleyball Data

Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.

[CVPR 2023] STMixer: A One-Stage Sparse Action Detector

Official code for "Action Transformer: A Self-attention Model for Short-time Pose-based Human Action Recognition", Pattern Recognition (2022).

deep learning sex position classifier

A toolbox for skeleton-based action recognition.

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

GolfDB is a video database for Golf Swing Sequencing, which involves detecting 8 golf swing events in trimmed golf swing videos. This repo demos the baseline model, SwingNet.

Frame Flexible Network (CVPR2023)

CricShot10 is a video action recognition dataset consisting of 10 cricket batting shots. This dataset was developed using the videos from YouTube.

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.