Jing-Hao Xue

According to our database1, Jing-Hao Xue authored at least 91 papers between 2000 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2020

LCSCNet: Linear Compressing-Based Skip-Connecting Network for Image Super-Resolution.
IEEE Trans. Image Process., 2020

OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer.
IEEE Trans. Image Process., 2020

Hyperspectral and Multispectral Image Fusion Using Optimized Twin Dictionaries.
IEEE Trans. Image Process., 2020

Special Issue on Advances in Statistical Methods-based Visual Quality Assessment.
Signal Process. Image Commun., 2020

Inter-class angular margin loss for face recognition.
Signal Process. Image Commun., 2020

Adjusting the imbalance ratio by the dimensionality of imbalanced data.
Pattern Recognit. Lett., 2020

Data-augmented matched subspace detector for hyperspectral subpixel target detection.
Pattern Recognit., 2020

Enhanced Grassmann discriminant analysis with randomized time warping for motion recognition.
Pattern Recognit., 2020

Learning Local Metrics and Influential Regions for Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Deep learning for image super-resolution.
Neurocomputing, 2020

ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification.
CoRR, 2020

Towards Certified Robustness of Metric Learning.
CoRR, 2020

A Concise Review of Recent Few-shot Meta-learning Methods.
CoRR, 2020

Real-MFF Dataset: A Large Realistic Multi-focus Image Dataset with Ground Truth.
CoRR, 2020

XSepConv: Extremely Separated Convolution.
CoRR, 2020

Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification.
CoRR, 2020

2019
Deep Learning for Single Image Super-Resolution: A Brief Review.
IEEE Trans. Multimedia, 2019

FV-GAN: Finger Vein Representation Using Generative Adversarial Networks.
IEEE Trans. Inf. Forensics Secur., 2019

MSDH: Matched subspace detector with heterogeneous noise.
Pattern Recognit. Lett., 2019

Learning distance to subspace for the nearest subspace methods in high-dimensional data classification.
Inf. Sci., 2019

Image-text dual neural network with decision strategy for small-sample image classification.
Neurocomputing, 2019

A hybrid finger identification pattern using Polarized depth-Weighted Binary Direction Coding.
Neurocomputing, 2019

Domain-Aware No-Reference Image Quality Assessment.
CoRR, 2019

Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement.
CoRR, 2019

Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches.
CoRR, 2019

Discriminant analysis based on projection onto generalized difference subspace.
CoRR, 2019

Constrained Mutual Convex Cone Method for Image Set Based Recognition.
CoRR, 2019

Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images.
CoRR, 2019

Soft Dropout And Its Variational Bayes Approximation.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

A New Rotation-Invariant Deep Network for 3D Object Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A New Approach to Automatic Clothing Matting from Mannequins.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A New Object Scene Flow Algorithm Based on Support Points Selection and Robust Moving Object Proposal.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Residual Dilated Network with Attention for Image Blind Denoising.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
Decorrelation of Neutral Vector Variables: Theory and Applications.
IEEE Trans. Neural Networks Learn. Syst., 2018

SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment.
IEEE Trans. Image Process., 2018

On Hypothesis Testing for Comparing Image Quality Assessment Metrics [Tips & Tricks].
IEEE Signal Process. Mag., 2018

Cone-based joint sparse modelling for hyperspectral image classification.
Signal Process., 2018

LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test.
Pattern Recognit. Lett., 2018

MvSSIM: A quality assessment index for hyperspectral images.
Neurocomputing, 2018

No-reference image quality assessment for photographic images based on robust statistics.
Neurocomputing, 2018

Matched shrunken subspace detectors for hyperspectral target detection.
Neurocomputing, 2018

Discriminatively guided filtering (DGF) for hyperspectral image classification.
Neurocomputing, 2018

Deep Learning for Single Image Super-Resolution: A Brief Review.
CoRR, 2018

SEA: A Combined Model for Heat Demand Prediction.
CoRR, 2018

Metric Learning via Maximizing the Lipschitz Margin Ratio.
CoRR, 2018

Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Spectral Super-resolution for RGB Images using Class-based BP Neural Networks.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2017
Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection.
IEEE Trans. Image Process., 2017

Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions.
IEEE Trans. Image Process., 2017

Joint sparse model-based discriminative K-SVD for hyperspectral image classification.
Signal Process., 2017

The matched subspace detector with interaction effects.
Pattern Recognit., 2017

On the orthogonal distance to class subspaces for high-dimensional data classification.
Inf. Sci., 2017

Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data.
Inf. Sci., 2017

What is the probability of replicating a statistically significant association in genome-wide association studies?
Briefings Bioinform., 2017

Transferring CNNS to multi-instance multi-label classification on small datasets.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Sufficient Canonical Correlation Analysis.
IEEE Trans. Image Process., 2016

Denoising of Hyperspectral Images Using Group Low-Rank Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

A novel hierarchical framework for human action recognition.
Pattern Recognit., 2016

Randomized time warping for motion recognition.
Image Vis. Comput., 2016

Combining multiple biometric traits with an order-preserving score fusion algorithm.
Neurocomputing, 2016

Latent variable pictorial structure for human pose estimation on depth images.
Neurocomputing, 2016

2015
Advanced Joint Bayesian Method for Face Verification.
IEEE Trans. Inf. Forensics Secur., 2015

Spectral Nonlocal Restoration of Hyperspectral Images With Low-Rank Property.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Subcategory Clustering with Latent Feature Alignment and Filtering for Object Detection.
IEEE Signal Process. Lett., 2015

Why Does Rebalancing Class-Unbalanced Data Improve AUC for Linear Discriminant Analysis?
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Embedding metric learning into set-based face recognition for video surveillance.
Neurocomputing, 2015

Depth-images-based pose estimation using regression forests and graphical models.
Neurocomputing, 2015

MiLDA: A graph embedding approach to multi-view face recognition.
Neurocomputing, 2015

2014
Detection of user-registered dog faces.
Neurocomputing, 2014

Fisher's linear discriminant embedded metric learning.
Neurocomputing, 2014

Deformable Part-Based Model Transfer for Object Detection.
IEICE Trans. Inf. Syst., 2014

On selecting interacting features from high-dimensional data.
Comput. Stat. Data Anal., 2014

2012
Ridler and Calvard's, Kittler and Illingworth's and Otsu's methods for image thresholding.
Pattern Recognit. Lett., 2012

2011
t -Tests, F -Tests and Otsu's Methods for Image Thresholding.
IEEE Trans. Image Process., 2011

Median-based image thresholding.
Image Vis. Comput., 2011

2010
Joint discriminative-generative modelling based on statistical tests for classification.
Pattern Recognit. Lett., 2010

On the generative-discriminative tradeoff approach: Interpretation, asymptotic efficiency and classification performance.
Comput. Stat. Data Anal., 2010

2009
Interpretation of hybrid generative/discriminative algorithms.
Neurocomputing, 2009

2008
Short note on two output-dependent hidden Markov models.
Pattern Recognit. Lett., 2008

Do unbalanced data have a negative effect on LDA?
Pattern Recognit., 2008

Comment on "On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes".
Neural Process. Lett., 2008

2005
Making XML document markup international.
Softw. Pract. Exp., 2005

2003
An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images.
Pattern Recognit. Lett., 2003

Localizing XML Documents through XSLT.
Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

2001
Knowledge-based segmentation and labeling of brain structures from MRI images.
Pattern Recognit. Lett., 2001

A novel method for adaptive enhancement and unsupervised segmentation of MRI brain image.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling.
IEEE Trans. Medical Imaging, 2000

Unsupervised Segmentation of Three-Dimensional Brain Images.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Fuzzy Modeling of Knowledge for MRI Brain Structure Segmentation.
Proceedings of the 2000 International Conference on Image Processing, 2000


  Loading...