OO-dMVMT: A Deep Multi-view Multi-task Classification Framework for Real-time 3D Hand Gesture Classification and Segmentation-Reference-Cited by-同舟云学术

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OO-dMVMT: A Deep Multi-view Multi-task Classification Framework for Real-time 3D Hand Gesture Classification and Segmentation

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Cunico Federico¹,Girella Federico¹,Avogaro Andrea¹,Emporio Marco¹,Giachetti Andrea¹,Cristani Marco¹

Affiliation:

1. University of Verona

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208559.pdf?arnumber=10208559

Reference33 articles.

1. SHREC 2022 track on online detection of heterogeneous gestures

2. STRONGER: Simple TRajectory-based ONline GEsture Recognizer;emporio;Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference,2021

3. MEgATrack

4. Challenges in Multi-modal Gesture Recognition

5. Make Skeleton-based Action Recognition Model Smaller, Faster and Better

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Language-enhanced RNR-Map: Querying Renderable Neural Radiance Field maps with natural language;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

2. Demo: gesture based interaction with the Hololens 2;Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter;2023-09-20

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