Baoxiang Huang

According to our database, Baoxiang Huang authored at least 41 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Mesoscale Westward Eddy Trajectory Prediction With Memory Augmented Neural Network.

Wanchuan Kan, Baoxiang Huang, Milena Radenkovic, Xinmin Zhang, Ge Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

DCAFusion: A novel general image fusion framework based on reference image reconstruction and dual-cross attention mechanism.

Lixing Fang, Meng Hou, Baoxiang Huang, Ge Chen, Jie Yang

Inf. Sci., 2025

Contour and texture preservation underwater image restoration via low-rank regularizations.

Qing Yu, Guojia Hou, Weidong Zhang, Baoxiang Huang, Zhenkuan Pan

Expert Syst. Appl., 2025

2024

Towards submesoscale eddy detection in SDGSAT-1 data through deep learning.

Ruijiao Li, Linghui Xia, Jie Yang, Baoxiang Huang, Ge Chen

Int. J. Digit. Earth, December, 2024

Medium-range forecasting of oceanic eddy trajectory.

Xiaoyan Chen, Ge Chen, Linyao Ge, Chuanchuan Cao, Baoxiang Huang

Int. J. Digit. Earth, December, 2024

Prediction of Sea Surface Temperature Using U-Net Based Model.

Jing Ren, Changying Wang, Ling Sun, Baoxiang Huang, Deyu Zhang, Jiadong Mu, Jianqiang Wu

Remote. Sens., April, 2024

EFGAN: An automatic GAN-based methodology for mining eddy-front coupling with fused remote sensing data.

Ying Ma, Wen Liu, Baoxiang Huang, Fenglin Tian, Ge Chen

Inf. Fusion, January, 2024

Global Oceanic Mesoscale Eddies Trajectories Prediction With Knowledge-Fused Neural Network.

Xinmin Zhang, Baoxiang Huang, Ge Chen, Linyao Ge, Milena Radenkovic, Guojia Hou

IEEE Trans. Geosci. Remote. Sens., 2024

Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima.

Yongjun Yu, Baoxiang Huang, Milena Radenkovic, Tingting Wang, Ge Chen

IEEE Trans. Geosci. Remote. Sens., 2024

Profile Data Reconstruction for Deep Chl$a$ Maxima in Mediterranean Sea via Improved-MLP Networks.

Yongjun Yu, Wanchuan Kan, He Gao, Jie Yang, Baoxiang Huang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

ARU$^{2}$-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection.

Junmin Geng, He Gao, Baoxiang Huang, Milena Radenkovic, Ge Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Constructing a High Temporal Resolution Global Lakes Dataset via Swin-Unet with Applications to Area Prediction.

Yutian Han, Baoxiang Huang, He Gao

CoRR, 2024

No-reference quality assessment for underwater images.

Guojia Hou, Siqi Zhang, Ting Lu, Yuxuan Li, Zhenkuan Pan, Baoxiang Huang

Comput. Electr. Eng., 2024

2023

TCUNet: A Lightweight Dual-Branch Parallel Network for Sea-Land Segmentation in Remote Sensing Images.

Xuan Xiong, Xiaopeng Wang, Jiahua Zhang, Baoxiang Huang, Runfeng Du

Remote. Sens., September, 2023

Identification for the Low-Contrast Image Signal with Regularized Variational Term and Dynamical Saturating Nonlinearity.

Ning Zhang, Yumei Ma, Zhenkuan Pan, Baoxiang Huang, Dongcheng Wang

J. Syst. Sci. Complex., June, 2023

EFAR dataset.

Ying Ma, Fenglin Tian, Shuang Long, Baoxiang Huang, Wen Liu, Ge Chen

Dataset, February, 2023

Medium-Range Trajectory Prediction Network Compliant to Physical Constraint for Oceanic Eddy.

Linyao Ge, Baoxiang Huang, Xiaoyan Chen, Ge Chen

IEEE Trans. Geosci. Remote. Sens., 2023

WildFishNet: Open Set Wild Fish Recognition Deep Neural Network With Fusion Activation Pattern.

Xiaoya Zhang, Baoxiang Huang, Ge Chen, Milena Radenkovic, Guojia Hou

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

SCMNet: Toward Subsurface Chlorophyll Maxima Prediction Using Embeddings and Bi-GRU Network.

Ao Wang, Baoxiang Huang, Jie Yang, Ge Chen, Milena Radenkovic

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery.

Nan Zhao, Baoxiang Huang, Jie Yang, Milena Radenkovic, Ge Chen

IEEE Geosci. Remote. Sens. Lett., 2023

Global Oceanic Eddy-Front Associations From Synergetic Remote Sensing Data by Deep Learning.

Ying Ma, Fenglin Tian, Shuang Long, Baoxiang Huang, Wen Liu, Ge Chen

IEEE Geosci. Remote. Sens. Lett., 2023

2022

A no-Reference Stereoscopic Image Quality Assessment Network Based on Binocular Interaction and Fusion Mechanisms.

Jianwei Si, Baoxiang Huang, Huan Yang, Weisi Lin, Zhenkuan Pan

IEEE Trans. Image Process., 2022

Vertical Structure-Based Classification of Oceanic Eddy Using 3-D Convolutional Neural Network.

Baoxiang Huang, Linyao Ge, Xiaoyan Chen, Ge Chen

IEEE Trans. Geosci. Remote. Sens., 2022

An Efficient Oceanic Eddy Identification Method With XBT Data Using Transformer.

Hongfeng Zhang, Baoxiang Huang, Ge Chen, Linyao Ge, Milena Radenkovic

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

A Spectral Sequence-Based Nonlocal Long Short-Term Memory Network for Hyperspectral Image Classification.

Baoxiang Huang, Zhipu Wang, Jie Shang, Ge Chen, Milena Radenkovic

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Semantic-aware multi-task learning for image aesthetic quality assessment.

Weiliang Yan, Yuqing Li, Huan Yang, Baoxiang Huang, Zhenkuan Pan

Connect. Sci., 2022

2021

An Efficient Deep-Sea Debris Detection Method Using Deep Neural Networks.

Bing Xue, Baoxiang Huang, Weibo Wei, Ge Chen, Haitao Li, Nan Zhao, Hongfeng Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Deep-Sea Debris Identification Using Deep Convolutional Neural Networks.

Bing Xue, Baoxiang Huang, Ge Chen, Haitao Li, Weibo Wei

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Nonlocal graph theory based transductive learning for hyperspectral image classification.

Baoxiang Huang, Linyao Ge, Ge Chen, Milena Radenkovic, Xiaopeng Wang, Jinming Duan, Zhenkuan Pan

Pattern Recognit., 2021

Semi-Supervised classification of hyperspectral images using discrete nonlocal variation Potts Model.

Linyao Ge, Baoxiang Huang, Weibo Wei, Zhenkuan Pan

Math. Found. Comput., 2021

A full-reference stereoscopic image quality assessment index based on stable aggregation of monocular and binocular visual features.

Jianwei Si, Huan Yang, Baoxiang Huang, Zhenkuan Pan, Honglei Su

IET Image Process., 2021

2020

Variational level set method for image segmentation with simplex constraint of landmarks.

Baoxiang Huang, Zhenkuan Pan, Huan Yang, Li Bai

Signal Process. Image Commun., 2020

A novel dark channel prior guided variational framework for underwater image restoration.

Guojia Hou, Jingming Li, Guodong Wang, Huan Yang, Baoxiang Huang, Zhenkuan Pan

J. Vis. Commun. Image Represent., 2020

Efficient image structural similarity quality assessment method using image regularised feature.

Yajing Li, Baoxiang Huang, Huan Yang, Guojia Hou, Pengfei Zhang, Jinming Duan

IET Image Process., 2020

2019

Screen Content Image Quality Assessment With Edge Features in Gradient Domain.

Ruifeng Wang, Huan Yang, Zhenkuan Pan, Baoxiang Huang, Guojia Hou

IEEE Access, 2019

An Enhanced High-Order Variational Model Based on Speckle Noise Removal With $G^0$ Distribution.

Yunping Mu, Baoxiang Huang, Zhenkuan Pan, Huan Yang, Guojia Hou, Jinming Duan

IEEE Access, 2019

Speckle Noise Removal Convex Method Using Higher-Order Curvature Variation.

Baoxiang Huang, Yunping Mu, Zhenkuan Pan, Li Bai, Huan Yang, Jinming Duan

IEEE Access, 2019

2018

Efficient L1-based nonlocal total variational model of Retinex for image restoration.

Guojia Hou, Huizhu Pan, Baoxiang Huang, Guodong Wang, Weibo Wei, Zhenkuan Pan

J. Electronic Imaging, 2018

Hue preserving-based approach for underwater colour image enhancement.

Guojia Hou, Zhenkuan Pan, Baoxiang Huang, Guodong Wang, Xin Luan

IET Image Process., 2018

2017

Color blurred image restoration based on multichannel nonlinear diffusion model.

Nan Wu, Guodong Wang, Hong Zhang, Guojia Hou, Baoxiang Huang

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016

Unsupervised color texture segmentation using active contour model and oscillating information.

Jinpeng Zhang, Guodong Wang, Zhenkuan Pan, Baoxiang Huang

Proceedings of the Ninth International Conference on Machine Vision, 2016