Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification

no code implementations • ECCV 2020 • Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou

Experimental results demonstrate that our DCML method explores credible and valuable training data and improves the performance of unsupervised domain adaptation.

Metric Learning Person Re-Identification +2

Hybrid Physical Metric For 6-DoF Grasp Pose Detection

1 code implementation • 22 Jun 2022 • Yuhao Lu, Beixing Deng, Zhenyu Wang, Peiyuan Zhi, YaLi Li, Shengjin Wang

6-DoF grasp pose detection of multi-grasp and multi-object is a challenge task in the field of intelligent robot.

Machine learning driven synthesis of few-layered WTe2

no code implementations • 10 Oct 2019 • Manzhang Xu, Bijun Tang, Yuhao Lu, Chao Zhu, Lu Zheng, Jingyu Zhang, Nannan Han, Yuxi Guo, Jun Di, Pin Song, Yongmin He, Lixing Kang, Zhiyong Zhang, Wu Zhao, Cuntai Guan, Xuewen Wang, Zheng Liu

Reducing the lateral scale of two-dimensional (2D) materials to one-dimensional (1D) has attracted substantial research interest not only to achieve competitive electronic device applications but also for the exploration of fundamental physical properties.

BIG-bench Machine Learning

Machine learning-guided synthesis of advanced inorganic materials

1 code implementation • 10 May 2019 • Bijun Tang, Yuhao Lu, Jiadong Zhou, Han Wang, Prafful Golani, Manzhang Xu, Quan Xu, Cuntai Guan, Zheng Liu

Synthesis of advanced inorganic materials with minimum number of trials is of paramount importance towards the acceleration of inorganic materials development.

BIG-bench Machine Learning

FPETS : Fully Parallel End-to-End Text-to-Speech System

2 code implementations • 12 Dec 2018 • Dabiao Ma, Zhiba Su, Wenxuan Wang, Yuhao Lu

End-to-end Text-to-speech (TTS) system can greatly improve the quality of synthesised speech.