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Akademický článek

Pre-weighted Modulated Dense Graph Convolutional Networks for 3D Human Pose Estimation

Autor: MA Jinlin, CUI Qilei, MA Ziping, YAN Qi, CAO Haojie, WU Jiangtao

Publikováno v: Jisuanji kexue yu tansuo, Vol 18, Iss 4, Pp 963-977 (2024)

Graph convolutional networks (GCN) have increasingly become one of the main research hotspots in 3D human pose estimation. The method of modeling the relationship between human joint points by GCN has achieved good performance in 3D human pose estima

Externí odkaz: https://doaj.org/article/cd8fb109de014457ba97cbff59595c49

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Akademický článek

HSKDLR: Lightweight Lip Reading Method Based on Homogeneous Self-Knowledge Distillation

Autor: MA Jinlin, LIU Yuhao, MA Ziping, GONG Yuanwen, ZHU Yanbin

Publikováno v: Jisuanji kexue yu tansuo, Vol 17, Iss 11, Pp 2689-2702 (2023)

In order to solve the problems of low recognition rate and large amount of calculation in lip reading, this paper proposes a lightweight model for lip reading named HSKDLR （homogeneous self-knowledge distillation for lip reading）. Firstly, the S-

Externí odkaz: https://doaj.org/article/9954e5d7425c477d9761efe66c82ae59

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Akademický článek

Research Progress of Lightweight Neural Network Convolution Design

Autor: MA Jinlin, ZHANG Yu, MA Ziping, MAO Kaiji

Publikováno v: Jisuanji kexue yu tansuo, Vol 16, Iss 3, Pp 512-528 (2022)

Traditional neural networks have the disadvantages of over-reliance on hardware resources and high requirements for application equipment performance. Therefore, they cannot be deployed on edge devices and mobile terminals with limited computing powe

Externí odkaz: https://doaj.org/article/502a70cd76b14675b6d3af5be3593d10

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Akademický článek

Review of Extracting Methods for Lip Visual Features

Autor: MA Jinlin, GONG Yuanwen, MA Ziping, CHEN Deguang, ZHU Yanbin, LIU Yuhao

Publikováno v: Jisuanji kexue yu tansuo, Vol 15, Iss 12, Pp 2256-2275 (2021)

Current research on lip recognition focuses on improving recognition accuracy and studying features of multimodal inputs. However, little attention has been paid to improving the effectiveness of lip visual features. Lip visual information plays a ke

Externí odkaz: https://doaj.org/article/1781d07e39414d75a86ef0ee62da1cd5

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Akademický článek

Grape clusters detection based on multi-scale feature fusion and augmentation.

Autor: Ma, Jinlin^1,2 (AUTHOR) majinlin@nmu.edu.cn, Xu, Silong¹ (AUTHOR), Ma, Ziping³ (AUTHOR) 2206041@num.edu.cn, Fu, Hong¹ (AUTHOR), Lin, Baobao¹ (AUTHOR)

Publikováno v: Scientific Reports. 9/30/2024, Vol. 14 Issue 1, p1-15. 15p.

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