Statistics for topic action-recognition

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

Data preparation and loader for AMASS

A toolbox for skeleton-based action recognition.

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

Data preparation and loader for AMASS

A toolbox for skeleton-based action recognition.

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

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

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

Data preparation and loader for AMASS

A toolbox for skeleton-based action recognition.

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

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

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

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

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

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

[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

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

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

autoupdate paper list

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

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

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

autoupdate paper list

[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...

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

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...

[KDD 2023] FedMultimodal

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

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