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Huiyu Zhou
Huiyu Zhou
Professor of Machine Learning, University of Leicester, UK
Verified email at leicester.ac.uk - Homepage
Title
Cited by
Cited by
Year
Human motion tracking for rehabilitation—A survey
H Zhou, H Hu
Biomedical signal processing and control 3 (1), 1-18, 2008
10512008
Object tracking using SIFT features and mean shift
H Zhou, Y Yuan, C Shi
Computer vision and image understanding 113 (3), 345-352, 2009
8432009
Using deep neural network with small dataset to predict material defects
S Feng, H Zhou, H Dong
Materials & Design 162, 300-310, 2019
4362019
Use of multiple wearable inertial sensors in upper limb motion tracking
H Zhou, T Stone, H Hu, N Harris
Medical engineering & physics 30 (1), 123-133, 2008
3082008
Anisotropic mean shift based fuzzy c-means segmentation of dermoscopy images
H Zhou, G Schaefer, AH Sadka, ME Celebi
IEEE Journal of Selected Topics in Signal Processing 3 (1), 26-34, 2009
2262009
Integration of vision and inertial sensors for 3D arm motion tracking in home-based rehabilitation
Y Tao, H Hu, H Zhou
The International Journal of Robotics Research 26 (6), 607-624, 2007
2102007
A state-of-the-art survey on lesion border detection in dermoscopy images
ME Celebi, Q Wen, H Iyatomi, K Shimizu, H Zhou, G Schaefer
Dermoscopy image analysis 10 (1), 97-129, 2015
1862015
Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey
H Ma, S Shen, M Yu, Z Yang, M Fei, H Zhou
Swarm and evolutionary computation 44, 365-387, 2019
1732019
Deep learning based brain tumor segmentation: a survey
Z Liu, L Tong, L Chen, Z Jiang, F Zhou, Q Zhang, X Zhang, Y Jin, H Zhou
Complex & intelligent systems 9 (1), 1001-1026, 2023
1602023
A robust parallel object tracking method for illumination variations
S Liu, G Liu, H Zhou
Mobile Networks and Applications 24 (1), 5-17, 2019
1582019
Mean shift based gradient vector flow for image segmentation
H Zhou, X Li, G Schaefer, ME Celebi, P Miller
Computer Vision and Image Understanding 117 (9), 1004-1016, 2013
1542013
Feature analyses and modeling of lithium-ion battery manufacturing based on random forest classification
K Liu, X Hu, H Zhou, L Tong, WD Widanage, J Marco
IEEE/ASME Transactions on Mechatronics 26 (6), 2944-2955, 2021
1532021
Inertial measurements of upper limb motion
H Zhou, H Hu, Y Tao
Medical and Biological Engineering and Computing 44 (6), 479-487, 2006
1492006
Robust visual tracking based on online learning sparse representation
S Zhang, H Yao, H Zhou, X Sun, S Liu
Neurocomputing 100, 31-40, 2013
1482013
Reducing drifts in the inertial measurements of wrist and elbow positions
H Zhou, H Hu
IEEE Transactions on Instrumentation and Measurement 59 (3), 575-585, 2009
1402009
A deep convolutional generative adversarial networks (DCGANs)-based semi-supervised method for object recognition in synthetic aperture radar (SAR) images
F Gao, Y Yang, J Wang, J Sun, E Yang, H Zhou
Remote Sensing 10 (6), 846, 2018
1332018
Robust visual tracking using structurally random projection and weighted least squares
S Zhang, H Zhou, F Jiang, X Li
IEEE Transactions on Circuits and Systems for Video Technology 25 (11), 1749 …, 2015
1332015
Spatial mixture of Gaussians for dynamic background modelling
S Varadarajan, P Miller, H Zhou
2013 10th IEEE international conference on advanced video and signal based …, 2013
1332013
Gradient vector flow with mean shift for skin lesion segmentation
H Zhou, G Schaefer, ME Celebi, F Lin, T Liu
Computerized Medical Imaging and Graphics 35 (2), 121-127, 2011
1322011
Fuzzy optimal energy management for fuel cell and supercapacitor systems using neural network based driving pattern recognition
R Zhang, J Tao, H Zhou
IEEE Transactions on Fuzzy Systems 27 (1), 45-57, 2018
1312018
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