Zobrazeno 1 - 10
of 278
pro vyhledávání: '"Jingmin, Xin"'
Publikováno v:
IEEE Robotics and Automation Letters. 8:3358-3365
Publikováno v:
Neurocomputing. 534:161-170
Autor:
Sijie Liu, Jingmin Xin, Jiayi Wu, Yangyang Deng, Ruisheng Su, Wiro J. Niessen, Nanning Zheng, Theo van Walsum
Publikováno v:
Neurocomputing, 523, 224-234. Elsevier
Neurocomputing, 523
Neurocomputing, 523
Identification and detection of thin-cap fibroatheroma (TCFA) from intravascular optical coherence tomography (IVOCT) images is critical for treatment of coronary heart diseases. Recently, deep learning methods have shown promising successes in TCFA
Autor:
Jiangong Wang, Xiao Wang, Tianyu Shen, Yutong Wang, Li Li, Yonglin Tian, Hui Yu, Long Chen, Jingmin Xin, Xiangbin Wu, Nanning Zheng, Fei-Yue Wang
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 7:286-299
Autor:
Mengqi, Han, Shaoyi, Du, Yuyan, Ge, Dong, Zhang, Yuting, Chi, Hong, Long, Jing, Yang, Yang, Yang, Jingmin, Xin, Teng, Chen, Nanning, Zheng, Yu-Cheng, Guo
Publikováno v:
International Journal of Legal Medicine. 136:821-831
Age estimation can aid in forensic medicine applications, diagnosis, and treatment planning for orthodontics and pediatrics. Existing dental age estimation methods rely heavily on specialized knowledge and are highly subjective, wasting time, and ene
Publikováno v:
IEEE Transactions on Cybernetics. :1-14
Localization is a fundamental and crucial module for autonomous vehicles. Most of the existing localization methodologies, such as signal-dependent methods (RTK-GPS and Bluetooth), simultaneous localization and mapping (SLAM), and map-based methods,
Publikováno v:
Journal of Biophotonics. 16
Publikováno v:
Neurocomputing. 463:212-225
Object detection and semantic segmentation are two fundamental techniques for Intelligent Vehicles (IV) and Advanced Driving Assistance System (ADAS). Motivated by recent studies demonstrating that object detection and semantic segmentation are two h
Publikováno v:
Sensors, Vol 15, Iss 6, Pp 13899-13915 (2015)
In this paper, the problem of spatial signature estimation using a uniform linear array (ULA) with unknown sensor gain and phase errors is considered. As is well known, the directions-of-arrival (DOAs) can only be determined within an unknown rotatio
Externí odkaz:
https://doaj.org/article/1111ed282f13412aa1c1c92cf7be4622