Statistics for topic action-recognition

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

A curated list of action recognition and related area resources

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...

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

Data preparation and loader for AMASS

Applying Deep Learning Approaches to Volleyball Data

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

Data preparation and loader for AMASS

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

A list of Human-Object Interaction Learning.

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

A toolbox for skeleton-based action recognition.

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

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

A curated list of action recognition and related area resources

A systematic collection of various skeleton-based models (Datasets, Papers, Codes, Leaderboards).

This github project aims to recongnize unsafe actions of workers on the construction site.

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.

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

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

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

[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

OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding

This github project aims to recongnize unsafe actions of workers on the construction site.

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

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

Applying Deep Learning Approaches to Volleyball Data

autoupdate paper list

Implemented a CNN-LSTM Action Recognizer for dynamic motion analysis, integrating convolutional and recurrent neural networks to efficiently recognize and classify actions in video data of UCF101 data...

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

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 2023-2024 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 2023-2024 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...

This github project aims to recongnize unsafe actions of workers on the construction site.

【ICCV'2023】What Can Simple Arithmetic Operations Do for Temporal Modeling?

[KDD 2023] FedMultimodal

[ICCV 2023] Efficient Video Action Detection with Token Dropout and Context Refinement