Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation-Reference-Cited by-同舟云学术

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Yang John¹,Bhalgat Yash²,Chang Simyung³,Porikli Fatih²,Kwak Nojun¹

Affiliation:

1. Seoul National University,Seoul,Korea

2. Qualcomm Technologies, Inc.,Qualcomm AI Research,San Diego,CA,US

3. Qualcomm AI Research, Qualcomm Korea YH,Seoul,Korea

Funder

National Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9706406/9706408/09707037.pdf?arnumber=9707037

Reference55 articles.

1. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

2. Kl-Divergence-Based Region Proposal Network For Object Detection

3. Using a Single RGB Frame for Real Time 3D Hand Pose Estimation in the Wild

4. Conditional Deep Learning for Energy-Efficient and Enhanced Pattern Recognition

5. Hydranets: Specialized dynamic architectures for efficient inference;mullapudi;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2018

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2. HandR²N²: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

3. Early Screening of ASD Based on Hand Gesture Analysis;Intelligent Robotics and Applications;2022