Jun Zhou
Jun Zhou
School of Information and Communication Technology, Griffith University
Verified email at - Homepage
Cited by
Cited by
A survey of convolutional neural networks: analysis, applications, and prospects
Z Li, F Liu, W Yang, S Peng, J Zhou
IEEE transactions on neural networks and learning systems 33 (12), 6999-7019, 2021
Hyperspectral unmixing via L-1/2 sparsity-constrained nonnegative matrix factorization
Y Qian, S Jia, J Zhou, A Robles-Kelly
Geoscience and Remote Sensing, IEEE Transactions on 49 (11), 4282-4297, 2011
Hyperspectral image classification based on structured sparse logistic regression and three-dimensional wavelet texture features
Y Qian, M Ye, J Zhou
IEEE Transactions on Geoscience and Remote Sensing 51 (4), 2276-2291, 2012
Active droplet sorting in microfluidics: a review
HD Xi, H Zheng, W Guo, AM Gañán-Calvo, Y Ai, CW Tsao, J Zhou, W Li, ...
Lab on a Chip 17 (5), 751-771, 2017
MILIS: Multiple instance learning with instance selection
Z Fu, A Robles-Kelly, J Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (5), 958-977, 2010
Beyond triplet loss: person re-identification with fine-grained difference-aware pairwise loss
C Yan, G Pang, X Bai, C Liu, X Ning, L Gu, J Zhou
IEEE Transactions on Multimedia 24, 1665-1677, 2021
Multiscale visual attention networks for object detection in VHR remote sensing images
C Wang, X Bai, S Wang, J Zhou, P Ren
IEEE Geoscience and Remote Sensing Letters 16 (2), 310-314, 2018
Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery
Y Qian, F Xiong, S Zeng, J Zhou, YY Tang
IEEE Transactions on Geoscience and Remote Sensing 55 (3), 1776-1792, 2017
Material based object tracking in hyperspectral videos
F Xiong, J Zhou, Y Qian
IEEE Transactions on Image Processing 29, 3719-3733, 2020
Multitask sparse nonnegative matrix factorization for joint spectral–spatial hyperspectral imagery denoising
M Ye, Y Qian, J Zhou
IEEE Transactions on Geoscience and Remote Sensing 53 (5), 2621 - 2639, 2015
Uncertainty estimation for stereo matching based on evidential deep learning
C Wang, X Wang, J Zhang, L Zhang, B Xiao, X Ning, J Zhou, E Hancock
Pattern Recognition 124 (4), 108498, 2022
VHR object detection based on structural feature extraction and query expansion
X Bai, H Zhang, J Zhou
IEEE Transactions on Geoscience and Remote Sensing 52 (10), 6508-6520, 2014
Use of SIMD vector operations to accelerate application code performance on low-powered ARM and Intel platforms
G Mitra, B Johnston, AP Rendell, E McCreath, J Zhou
2013 IEEE International Symposium on Parallel & Distributed Processing …, 2013
Progressive transfer learning and adversarial domain adaptation for cross-domain skin disease classification
Y Gu, Z Ge, CP Bonnington, J Zhou
IEEE Journal of Biomedical and Health Informatics 24 (5), 1379-1393, 2019
On the sampling strategy for evaluation of spectral-spatial methods in hyperspectral image classification
J Liang, J Zhou, Y Qian, L Wen, X Bai, Y Gao
IEEE Transactions on Geoscience and Remote Sensing 55 (2), 862-880, 2016
Goal-Oriented Gaze Estimation for Zero-Shot Learning
Y Liu, L Zhou, X Bai, Y Huang, L Gu, J Zhou, T Harada
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Road tracking in aerial images based on human–computer interaction and Bayesian filtering
J Zhou, WF Bischof, T Caelli
ISPRS journal of photogrammetry and remote sensing 61 (2), 108-124, 2006
Mixing linear SVMs for nonlinear classification
Z Fu, A Robles-Kelly, J Zhou
IEEE Transactions on Neural Networks 21 (12), 1963-1975, 2010
Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification
M Ye, Y Qian, J Zhou, YY Tang
IEEE Transactions on Geoscience and Remote Sensing 55 (3), 1544-1562, 2017
Prediction and Change Detection in Sequential Data for Interactive Applications.
J Zhou, L Cheng, WF Bischof
AAAI, 805-810, 2008
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