HandR<sup>2</sup>N<sup>2</sup>: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network-Reference-Cited by-同舟云学术

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HandR²N²: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Cheng Wencan¹,Ko Jong Hwan²

Affiliation:

1. Sungkyunkwan University,Department of Artificial Intelligence

2. Sungkyunkwan University,College of Information and Communication Engineering

Funder

National Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10378158.pdf?arnumber=10378158

Reference36 articles.

1. Pose guided structured region ensemble network for cascaded hand pose estimation

2. SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds

3. Point Auto-Encoder and Its Application to 2D-3D Transformation

4. HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton

5. Recurrent 3D Hand Pose Estimation Using Cascaded Pose-Guided 3D Alignments

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1. Challenges and solutions for vision-based hand gesture interpretation: A review;Computer Vision and Image Understanding;2024-11

2. Deep learning approaches for seizure video analysis: A review;Epilepsy & Behavior;2024-05

3. SO-Net: Model-Agnostic Sequential Hand Pose Optimization Framework;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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