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Guoxia Xu
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2020 – today
- 2024
- [b2]Hu Zhu, Yushan Pan, Lizhen Deng, Guoxia Xu:
Infrared Small Target Detection - Theory, Methods, and Algorithms. Springer 2024, ISBN 978-981-99-9798-5, pp. 1-168 - [j38]Zhongyang Wang, Guoxia Xu, Xiaokang Zhou, Jung Yoon Kim, Hu Zhu, Lizhen Deng:
Deep Tensor Evidence Fusion Network for Sentiment Classification. IEEE Trans. Comput. Soc. Syst. 11(4): 4605-4613 (2024) - [j37]Guoxia Xu, Lizhen Deng, Yansheng Li, Yantao Wei, Xiaokang Zhou, Hu Zhu:
Trusted Multimodal Socio-Cyber Sentiment Analysis Based on Disentangled Hierarchical Representation Learning. IEEE Trans. Comput. Soc. Syst. 11(4): 5287-5297 (2024) - [j36]Guoxia Xu, Chunming He, Hao Wang, Hu Zhu, Weiping Ding:
DM-Fusion: Deep Model-Driven Network for Heterogeneous Image Fusion. IEEE Trans. Neural Networks Learn. Syst. 35(7): 10071-10085 (2024) - [j35]Chunming He, Kai Li, Guoxia Xu, Jiangpeng Yan, Longxiang Tang, Yulun Zhang, Yaowei Wang, Xiu Li:
HQG-Net: Unpaired Medical Image Enhancement With High-Quality Guidance. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18404-18418 (2024) - [c11]Lizhen Deng, Rui Zhang, Zhongyang Wang, Guoxia Xu, Hu Zhu:
High-Order Multiple Kernelized Correlation Filter in Tensor for Visual Tracking. CVDL 2024: 13:1-13:5 - [c10]Huanping Zhang, Yi Zhang, Guoxia Xu, Jiangpeng Zheng, Meng Zhao:
Multi-Perspective Text-Guided Multimodal Fusion Network for Brain Tumor Segmentation. PRCV (14) 2024: 299-313 - 2023
- [b1]Guoxia Xu:
Improving Image Quality, Content, and Practicality: Knowledge-Oriented Methods for Information Enhancement. Norwegian University of Science and Technology, Trondheim, Norway, 2023 - [j34]Midi Wan, Taiyu Yan, Guoxia Xu, Aibing Liu, Yangbin Zhou, Hao Wang, Xiu Jin:
MAE-NIR: A masked autoencoder that enhances near-infrared spectral data to predict soil properties. Comput. Electron. Agric. 215: 108427 (2023) - [j33]Yu-Feng Yu, Xian-Liang Wang, Long Chen, Yingxu Wang, Guoxia Xu:
Cooperative linear regression model for image set classification. Expert Syst. Appl. 230: 120558 (2023) - [j32]Guoxia Xu, Lizhen Deng, Hao Wang, Hu Zhu:
CPAD: Component Pixel-Aware Multispectral Image Destriping. IEEE Trans. Aerosp. Electron. Syst. 59(5): 6374-6386 (2023) - [j31]Guoxia Xu, Hao Wang, Meng Zhao, Marius Pedersen, Hu Zhu:
Learning the Distribution-Based Temporal Knowledge With Low Rank Response Reasoning for UAV Visual Tracking. IEEE Trans. Intell. Transp. Syst. 24(11): 13000-13010 (2023) - [j30]Lizhen Deng, Guoxia Xu, Jiaqi Pi, Hu Zhu, Xiaokang Zhou:
Unpaired Self-supervised Learning for Industrial Cyber-Manufacturing Spectrum Blind Deconvolution. ACM Trans. Internet Techn. 23(4): 52:1-52:18 (2023) - [c9]Chunming He, Kai Li, Guoxia Xu, Yulun Zhang, Runze Hu, Zhenhua Guo, Xiu Li:
Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion. ICCV 2023: 12577-12587 - [c8]Lizhen Deng, Yushan Pan, Guoxia Xu, Taiyu Yan, Zhongyang Wang, Hu Zhu:
Deep Interpretable Component Decoupled Dictionary Neural Network for Image Denoising in Industrial Cyber-Physical System. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 452-461 - [c7]Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li:
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping. NeurIPS 2023 - [c6]Xueru Li, Guoxia Xu, Meng Zhao, Fan Shi, Hao Wang:
Encoder Activation Diffusion and Decoder Transformer Fusion Network for Medical Image Segmentation. PRCV (13) 2023: 185-197 - [i2]Chunming He, Kai Li, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li:
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping. CoRR abs/2305.11003 (2023) - [i1]Chunming He, Kai Li, Guoxia Xu, Jiangpeng Yan, Longxiang Tang, Yulun Zhang, Xiu Li, Yaowei Wang:
HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance. CoRR abs/2307.07829 (2023) - 2022
- [j29]Hu Zhu, Xueqin Wang, Guoxia Xu, Lizhen Deng:
A Self-paced Learning based Transfer Model for Hypergraph Matching. Inf. Sci. 590: 253-266 (2022) - [j28]Yu-Feng Yu, Long Chen, Ke-Kun Huang, Hu Zhu, Guoxia Xu:
Kernel embedding transformation learning for graph matching. Pattern Recognit. Lett. 163: 136-144 (2022) - [j27]Lizhen Deng, Guoxia Xu, Jieke Zhang, Hu Zhu:
Entropy-Driven Morphological Top-Hat Transformation for Infrared Small Target Detection. IEEE Trans. Aerosp. Electron. Syst. 58(2): 962-975 (2022) - [j26]Lizhen Deng, Jie Song, Guoxia Xu, Hu Zhu:
When Infrared Small Target Detection Meets Tensor Ring Decomposition: A Multiscale Morphological Framework. IEEE Trans. Aerosp. Electron. Syst. 58(4): 3162-3176 (2022) - [j25]Lizhen Deng, Dongyuan Xu, Guoxia Xu, Hu Zhu:
A Generalized Low-Rank Double-Tensor Nuclear Norm Completion Framework for Infrared Small Target Detection. IEEE Trans. Aerosp. Electron. Syst. 58(4): 3297-3312 (2022) - [j24]Lizhen Deng, Guoxia Xu, Yanyu Dai, Hu Zhu:
A Dual Stream Spectrum Deconvolution Neural Network. IEEE Trans. Ind. Informatics 18(5): 3086-3094 (2022) - [j23]Guoxia Xu, Xiaoxue Deng, Xiaokang Zhou, Marius Pedersen, Lucia Cimmino, Hao Wang:
FCFusion: Fractal Componentwise Modeling With Group Sparsity for Medical Image Fusion. IEEE Trans. Ind. Informatics 18(12): 9141-9150 (2022) - [j22]Lizhen Deng, Chunming He, Guoxia Xu, Hu Zhu, Hao Wang:
PcGAN: A Noise Robust Conditional Generative Adversarial Network for One Shot Learning. IEEE Trans. Intell. Transp. Syst. 23(12): 25249-25258 (2022) - [j21]Hu Zhu, Hao Peng, Guoxia Xu, Lizhen Deng, Yueying Cheng, Aiguo Song:
Bilateral Weighted Regression Ranking Model With Spatial-Temporal Correlation Filter for Visual Tracking. IEEE Trans. Multim. 24: 2098-2111 (2022) - [c5]Guoxia Xu, Hao Wang, Marius Pedersen, Hu Zhu, Meng Zhao:
Multi-label Abdominal Image Segmentation with Partially Labeled Data: A Prototypical Consistent Learning Perspective. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-7 - [c4]Guoxia Xu, Hao Wang, Meng Zhao, Hu Zhu:
JADD-GAN: A Joint Attention Generative Adversarial Data Fusion Network for Object Detection and Tracking. HPCC/DSS/SmartCity/DependSys 2022: 1829-1836 - 2021
- [j20]Zhong-Zhen Long, Guoxia Xu, Jiao Du, Hu Zhu, Taiyu Yan, Yu-Feng Yu:
Flexible Subspace Clustering: A Joint Feature Selection and K-Means Clustering Framework. Big Data Res. 23: 100170 (2021) - [j19]Hu Zhu, Guoxia Xu, Lu Liu, Lizhen Deng:
Video smoke removal based on low-rank tensor completion via spatial-temporal continuity constraint. Concurr. Comput. Pract. Exp. 33(15) (2021) - [j18]Ying Lu, Chunming He, Yu-Feng Yu, Guoxia Xu, Hu Zhu, Lizhen Deng:
Vector co-occurrence morphological edge detection for colour image. IET Image Process. 15(13): 3063-3070 (2021) - [j17]Lizhen Deng, Guoxia Xu, Hu Zhu, Bing-Kun Bao:
RoDeRain: Rotational Video Derain via Nonconvex and Nonsmooth Optimization. Mob. Networks Appl. 26(1): 57-66 (2021) - [j16]Lizhen Deng, Jieke Zhang, Guoxia Xu, Hu Zhu:
Infrared small target detection via adaptive M-estimator ring top-hat transformation. Pattern Recognit. 112: 107729 (2021) - [j15]Hu Zhu, Jieke Zhang, Guoxia Xu, Lizhen Deng:
Tensor Field Graph-Cut for Image Segmentation: A Non-Convex Perspective. IEEE Trans. Circuits Syst. Video Technol. 31(3): 1103-1113 (2021) - [j14]Yu-Feng Yu, Guoxia Xu, Ke-Kun Huang, Hu Zhu, Long Chen, Hao Wang:
Dual Calibration Mechanism Based L2, p-Norm for Graph Matching. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2343-2358 (2021) - [j13]Yu-Feng Yu, Guoxia Xu, Min Jiang, Hu Zhu, Dao-Qing Dai, Hong Yan:
Joint Transformation Learning via the L2, 1-Norm Metric for Robust Graph Matching. IEEE Trans. Cybern. 51(2): 521-533 (2021) - [c3]Ze Wang, Guoxia Xu:
Infrared and Visible Image Fusion based on Deep Gradient Constraint Driven Network. HPCC/DSS/SmartCity/DependSys 2021: 1886-1891 - 2020
- [j12]Lizhen Deng, Zhetao Zhou, Guoxia Xu, Hu Zhu, Bing-Kun Bao:
TV2++: a novel spatial-temporal total variation for super resolution with exponential-type norm. EURASIP J. Wirel. Commun. Netw. 2020(1): 223 (2020) - [j11]Xian-Liang Wang, Jiao Du, Guoxia Xu, Ignazio Passero, Hao Wang, Yu-Feng Yu:
Kernelized dual regression incorporating local information for image set classification. Pattern Recognit. Lett. 140: 274-280 (2020) - [j10]Hu Zhu, Jieke Zhang, Guoxia Xu, Lizhen Deng:
Balanced Ring Top-Hat Transformation for Infrared Small-Target Detection With Guided Filter Kernel. IEEE Trans. Aerosp. Electron. Syst. 56(5): 3892-3903 (2020) - [j9]Sheheryar Khan, Mehmood Nawaz, Guoxia Xu, Hong Yan:
Image Correspondence With CUR Decomposition-Based Graph Completion and Matching. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3054-3067 (2020) - [j8]Hu Zhu, Yiming Qiao, Guoxia Xu, Lizhen Deng, Yu-Feng Yu:
DSPNet: A Lightweight Dilated Convolution Neural Networks for Spectral Deconvolution With Self-Paced Learning. IEEE Trans. Ind. Informatics 16(12): 7392-7401 (2020) - [j7]Hu Zhu, Haopeng Ni, Shiming Liu, Guoxia Xu, Lizhen Deng:
TNLRS: Target-Aware Non-Local Low-Rank Modeling With Saliency Filtering Regularization for Infrared Small Target Detection. IEEE Trans. Image Process. 29: 9546-9558 (2020) - [j6]Hu Zhu, Ze Wang, Yu Shi, Yingying Hua, Guoxia Xu, Lizhen Deng:
Multimodal Fusion Method Based on Self-Attention Mechanism. Wirel. Commun. Mob. Comput. 2020: 8843186:1-8843186:8 (2020) - [c2]Guosheng Lu, Chunming He, Lei Xu, Jinlei Ren, Guoxia Xu, Haiming Zhao:
Infrared and visible image fusion based on local gradient constraints. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 571-575
2010 – 2019
- 2019
- [j5]Shuyan Xu, Lixin Han, Guoxia Xu:
基于张量分解的域适应算法 (Domain Adaptation Algorithm Based on Tensor Decomposition). 计算机科学 46(12): 89-94 (2019) - [j4]Xiaofeng Yuan, Lixin Han, Subin Qian, Guoxia Xu, Hong Yan:
Singular value decomposition based recommendation using imputed data. Knowl. Based Syst. 163: 485-494 (2019) - [j3]Guoxia Xu, Hu Zhu, Lizhen Deng, Lixin Han, Yujie Li, Huimin Lu:
Dilated-aware discriminative correlation filter for visual tracking. World Wide Web 22(2): 791-805 (2019) - [c1]Chunming He, Xiaobo Wang, Lizhen Deng, Guoxia Xu:
Image Threshold Segmentation Based on GLLE Histogram. iThings/GreenCom/CPSCom/SmartData 2019: 410-415 - 2018
- [j2]Guoxia Xu, Sheheryar Khan, Hu Zhu, Lixin Han, Michael K. Ng, Hong Yan:
Discriminative tracking via supervised tensor learning. Neurocomputing 315: 33-47 (2018) - 2017
- [j1]Sheheryar Khan, Guoxia Xu, Raymond Chan, Hong Yan:
An online spatio-temporal tensor learning model for visual tracking and its applications to facial expression recognition. Expert Syst. Appl. 90: 427-438 (2017)
Coauthor Index
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