郭乐铭｜天津理工大学｜学者主页

2026

FSNet: Frequency synergy network for continuous sign language recognition

Sensen Du, Leming Guo, Wanli Xue

Neurocomputing

DOI

2026

Frequency transform attack: a transferable adversarial framework for continuous sign language recognition

Yachao Lin, Yuxuan Liu, Wanli Xue, Leming Guo, Chao Wei, Tiantian Yuan

Multimedia Systems

DOI

2026

Privacy-Preserving Continuous Sign Language Recognition

Wanli Xue, Bitao Tan, Leming Guo, Tiantian Yuan, Yunpeng Li, Jia Guo, Shengyong Chen

IEEE Transactions on Multimedia

DOI

2025

Trustworthy Continuous Sign Language Recognition

Yan Zhang, Wanli Xue, Leming Guo, Yuxi Zhou, Chao Wei, Yangcan Wu, Tiantian Yuan, Shengyong Chen

IEEE Transactions on Multimedia

DOI

2025

Attack-Aware Frequency Pruning and Distillation for Privacy-Preserving Continuous Sign Language Recognition

Hongjian Jiang, San-gai Pan, Wanli Xue, Leming Guo

International Conference on Computer Graphics and Image Processing (CGIP)

DOI

2024

多尺度视觉特征提取及跨模态对齐的连续手语识别

郭乐铭，薛万利，袁甜甜

《计算机科学与探索》

2024

连续手语识别的视觉模型研究

郭乐铭

《天津理工大学》

2024

Multi-scale Variable Window Attention Network for Continuous Sign Language Recognition

Nan Zhang, Chao Wei, Leming Guo, Zeyu Cheng, Zhao Zhao, Yonghui Wu, Wanli Xue

International Conference on Cyber-Physical Social Intelligence (ICCSI)

DOI

2024

Dynamical semantic enhancement network for continuous sign language recognition

Suyang Wang, Leming Guo, Wanli Xue

Multimedia Systems

DOI

2024

Gloss Prior Guided Visual Feature Learning for Continuous Sign Language Recognition

Leming Guo, Wanli Xue, Бо Лю, Kaihua Zhang, Tiantian Yuan, Dimitris Metaxas

IEEE Transactions on Image Processing

DOI

2023

Continuous Sign Language Recognition for Hearing-Impaired Consumer Communication via Self-Guidance Network

Wanli Xue, Ze Kang, Leming Guo, Shourui Yang, Tiantian Yuan, Shengyong Chen

IEEE Transactions on Consumer Electronics

DOI

2023

Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition

Leming Guo, Wanli Xue, Qing Guo, Бо Лю, Kaihua Zhang, Tiantian Yuan, Shengyong Chen

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2022

Multi-level Temporal Relation Graph for Continuous Sign Language Recognition

Jingjing Guo, Wanli Xue, Leming Guo, Tiantian Yuan, Shengyong Chen

Lecture notes in computer science

DOI

2020

基于深度时空网络的少样本跨域动作识别算法研究

郭乐铭

《天津理工大学》

2020

Pairwise Two-Stream ConvNets for Cross-Domain Action Recognition With Small Data

Zan Gao, Leming Guo, Tongwei Ren, An-An Liu, Zhiyong Cheng, Shengyong Chen

IEEE Transactions on Neural Networks and Learning Systems

DOI

2020

A Pairwise Attentive Adversarial Spatiotemporal Network for Cross-Domain Few-Shot Action Recognition-R2

Zan Gao, Leming Guo, Weili Guan, An-An Liu, Tongwei Ren, Shengyong Chen

IEEE Transactions on Image Processing

DOI

郭乐铭

精选作品

期刊论文

FSNet: Frequency synergy network for continuous sign language recognition

Frequency transform attack: a transferable adversarial framework for continuous sign language recognition

Privacy-Preserving Continuous Sign Language Recognition

Trustworthy Continuous Sign Language Recognition

Attack-Aware Frequency Pruning and Distillation for Privacy-Preserving Continuous Sign Language Recognition

多尺度视觉特征提取及跨模态对齐的连续手语识别

连续手语识别的视觉模型研究

Multi-scale Variable Window Attention Network for Continuous Sign Language Recognition

Dynamical semantic enhancement network for continuous sign language recognition

Gloss Prior Guided Visual Feature Learning for Continuous Sign Language Recognition

Continuous Sign Language Recognition for Hearing-Impaired Consumer Communication via Self-Guidance Network

Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition

Multi-level Temporal Relation Graph for Continuous Sign Language Recognition

基于深度时空网络的少样本跨域动作识别算法研究

Pairwise Two-Stream ConvNets for Cross-Domain Action Recognition With Small Data

A Pairwise Attentive Adversarial Spatiotemporal Network for Cross-Domain Few-Shot Action Recognition-R2

研究方向