Zobrazeno 1 - 10
of 1 062
pro vyhledávání: '"Fu, Lan"'
Autor:
Wei, Shiyu, Li, Zhe, Murugappan, Krishnan, Li, Ziyuan, Lysevych, Mykhaylo, Vora, Kaushal, Tan, Hark Hoe, Jagadish, Chennupati, Karawdeniya, Buddini I, Nolan, Christopher J, Tricoli, Antonio, Fu, Lan
Diabetic ketoacidosis (DKA) is a life-threatening acute complication of diabetes in which ketone bodies accumulate in the blood. Breath acetone (a ketone) directly correlates with blood ketones, such that breath acetone monitoring could be used to im
Externí odkaz:
http://arxiv.org/abs/2312.00510
Vehicle Re-identification (Re-ID) has been broadly studied in the last decade; however, the different camera view angle leading to confused discrimination in the feature subspace for the vehicles of various poses, is still challenging for the Vehicle
Externí odkaz:
http://arxiv.org/abs/2311.16278
Single-photon detector (SPD), an essential building block of the quantum communication system, plays a fundamental role in developing next-generation quantum technologies. In this work, we propose an efficient modeling workflow of nanowire SPDs utili
Externí odkaz:
http://arxiv.org/abs/2310.18901
Autor:
Sun, Huiming, Fu, Lan, Li, Jinlong, Guo, Qing, Meng, Zibo, Zhang, Tianyun, Lin, Yuewei, Yu, Hongkai
Detecting the salient objects in a remote sensing image has wide applications for the interdisciplinary research. Many existing deep learning methods have been proposed for Salient Object Detection (SOD) in remote sensing images and get remarkable re
Externí odkaz:
http://arxiv.org/abs/2306.17431
Accurate detection of large-scale, elliptical-shape fibers, including their parameters of center, orientation and major/minor axes, on the 2D cross-sectioned image slices is very important for characterizing the underlying cylinder 3D structures in m
Externí odkaz:
http://arxiv.org/abs/2302.05541
Nanowire devices have long been proposed as an efficient alternative to their planar counterparts for different optoelectronic applications. Unfortunately, challenges related to the growth and characterization of doping and p-n junction formation in
Externí odkaz:
http://arxiv.org/abs/2301.08572
Autor:
Liu, Yuhao, Guo, Qing, Fu, Lan, Ke, Zhanghan, Xu, Ke, Feng, Wei, Tsang, Ivor W., Lau, Rynson W. H.
Existing deep learning-based shadow removal methods still produce images with shadow remnants. These shadow remnants typically exist in homogeneous regions with low-intensity values, making them untraceable in the existing image-to-image mapping para
Externí odkaz:
http://arxiv.org/abs/2301.03182
Autor:
Budnik, Garrett, Scott, John, Jiao, Chengge, Maazouz, Mostafa, Gledhill, Galen, Fu, Lan, Tan, Hark Hoe, Toth, Milos
Nanoscale fabrication and characterisation techniques critically underpin a vast range of fields, including materials science, nanoelectronics and nanobiotechnology. Focused ion beam (FIB) techniques are particularly appealing due to their high spati
Externí odkaz:
http://arxiv.org/abs/2206.10729
Facial landmark detection is a very fundamental and significant vision task with many important applications. In practice, facial landmark detection can be affected by a lot of natural degradations. One of the most common and important degradations i
Externí odkaz:
http://arxiv.org/abs/2111.13790
Autor:
Li, Zelong, Han, Xue, Fu, Lan, Shi, Guochao, Xu, Shiqi, Wang, Mingli, Yuan, Wenzhi, Zhou, Wenying, Cui, Jiahao
Publikováno v:
In Microchemical Journal May 2024 200