1 code implementation • 22 Dec 2022 • Tian Dong, Ziyuan Zhang, Han Qiu, Tianwei Zhang, Hewu Li, Terry Wang
Transforming off-the-shelf deep neural network (DNN) models into dynamic multi-exit architectures can achieve inference and transmission efficiency by fragmenting and distributing a large DNN model in edge computing scenarios (e. g., edge devices and cloud servers).
no code implementations • 5 Sep 2019 • Ziyuan Zhang, Luan Tran, Feng Liu, Xiaoming Liu
The LSTM integrates pose features over time as a dynamic gait feature while canonical features are averaged as a static gait feature.
no code implementations • CVPR 2019 • Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang
Most of the existing gait recognition methods take silhouettes or articulated body models as the gait features.