Jing-Hao Xue

Orcid: 0000-0003-1174-610X

According to our database1, Jing-Hao Xue authored at least 189 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Survival Analysis of High-Dimensional Data With Graph Convolutional Networks and Geometric Graphs.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

VPCFormer: A transformer-based multi-view finger vein recognition model and a new benchmark.
Pattern Recognit., April, 2024

A Survey on Deep Generative 3D-aware Image Synthesis.
ACM Comput. Surv., April, 2024

Toward Certified Robustness of Distance Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Dual Correlation Network for Efficient Video Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., March, 2024

When Sparse Neural Network Meets Label Noise Learning: A Multistage Learning Framework.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Exploit the Best of Both End-to-End and Map-Based Methods for Multi-Focus Image Fusion.
IEEE Trans. Multim., 2024

DeGCN: Deformable Graph Convolutional Networks for Skeleton-Based Action Recognition.
IEEE Trans. Image Process., 2024

Relationship-Guided Knowledge Transfer for Class-Incremental Facial Expression Recognition.
IEEE Trans. Image Process., 2024

DREAM: Visual Decoding from REversing HumAn Visual SysteM.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Spatial-Contextual Discrepancy Information Compensation for GAN Inversion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples.
IEEE Trans. Cybern., November, 2023

TROSD: A New RGB-D Dataset for Transparent and Reflective Object Segmentation in Practice.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited Labeled Data.
Int. J. Comput. Vis., August, 2023

Deep metric learning for few-shot image classification: A Review of recent developments.
Pattern Recognit., June, 2023

Automatic 3D joint erosion detection for the diagnosis and monitoring of rheumatoid arthritis using hand HR-pQCT images.
Comput. Medical Imaging Graph., June, 2023

Statistical hypothesis testing as a novel perspective of pooling for image quality assessment.
Signal Process. Image Commun., May, 2023

On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

The neglected background cues can facilitate finger vein recognition.
Pattern Recognit., April, 2023

GAN Inversion: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation.
IEEE Trans. Multim., 2023

Single-Sample Finger Vein Recognition via Competitive and Progressive Sparse Representation.
IEEE Trans. Biom. Behav. Identity Sci., 2023

Discriminant Feature Extraction by Generalized Difference Subspace.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

ReNAP: Relation network with adaptiveprototypical learning for few-shot classification.
Neurocomputing, 2023

Spatial-Contextual Discrepancy Information Compensation for GAN Inversion.
CoRR, 2023

Learning Meta Soft Prompt for Few-Shot Language Models.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
GenDet: Meta Learning to Generate Detectors From Few Shots.
IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Learning in Lane Marking Detection: A Survey.
IEEE Trans. Intell. Transp. Syst., 2022

Efficient Semantic Segmentation via Self-Attention and Self-Distillation.
IEEE Trans. Intell. Transp. Syst., 2022

Defocus Image Deblurring Network With Defocus Map Estimation as Auxiliary Task.
IEEE Trans. Image Process., 2022

SSL++: Improving Self-Supervised Learning by Mitigating the Proxy Task-Specificity Problem.
IEEE Trans. Image Process., 2022

Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes.
IEEE Trans. Circuits Syst. Video Technol., 2022

Deep Multi-Task Multi-Label CNN for Effective Facial Attribute Classification.
IEEE Trans. Affect. Comput., 2022

Constrained mutual convex cone method for image set based recognition.
Pattern Recognit., 2022

Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Spectral-Spatial Jointed Spectral Super-Resolution and Its Application to HJ-1A Satellite Images.
IEEE Geosci. Remote. Sens. Lett., 2022

ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment.
Neurocomputing, 2022

Adaptive Deep Disturbance-Disentangled Learning for Facial Expression Recognition.
Int. J. Comput. Vis., 2022

A Survey on 3D-aware Image Synthesis.
CoRR, 2022

GAN Inversion for Consistent Video Interpolation and Manipulation.
CoRR, 2022

Dimension reduction for high-dimensional small counts with KL divergence.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition.
Proceedings of the Computer Vision - ECCV 2022, 2022

When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Class-Variant Margin Normalized Softmax Loss for Deep Face Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2021

IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection.
IEEE Trans. Neural Networks Learn. Syst., 2021

A Polarization-Imaging-Based Machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions.
IEEE Trans. Medical Imaging, 2021

Ripple-GAN: Lane Line Detection With Ripple Lane Line Detection Network and Wasserstein GAN.
IEEE Trans. Intell. Transp. Syst., 2021

DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition.
IEEE Trans. Image Process., 2021

BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification.
IEEE Trans. Image Process., 2021

Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2021

Domain Fingerprints for No-Reference Image Quality Assessment.
IEEE Trans. Circuits Syst. Video Technol., 2021

ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification.
IEEE Trans. Circuits Syst. Video Technol., 2021

Non-Local Aggregation for RGB-D Semantic Segmentation.
IEEE Signal Process. Lett., 2021

Generalisations of stochastic supervision models.
Pattern Recognit., 2021

Guest Editorial: Special issue on deep learning with small samples.
Neurocomputing, 2021

Cali-sketch: Stroke calibration and completion for high-quality face image generation from human-like sketches.
Neurocomputing, 2021

3D-TDC: A 3D temporal dilation convolution framework for video action recognition.
Neurocomputing, 2021

TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild.
Neurocomputing, 2021

A concise review of recent few-shot meta-learning methods.
Neurocomputing, 2021

Mutual-learning sequence-level knowledge distillation for automatic speech recognition.
Neurocomputing, 2021

Deep InterBoost networks for small-sample image classification.
Neurocomputing, 2021

RFRN: A recurrent feature refinement network for accurate and efficient scene text detection.
Neurocomputing, 2021

Deep Metric Learning for Few-Shot Image Classification: A Selective Review.
CoRR, 2021

SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes.
CoRR, 2021

Towards Open-World Text-Guided Face Image Generation and Manipulation.
CoRR, 2021

Dimension reduction for data with heterogeneous missingness.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Small-Vote Sample Selection for Label-Noise Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

How Video Super-Resolution and Frame Interpolation Mutually Benefit.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

D³Net: Dual-Branch Disturbance Disentangling Network for Facial Expression Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Hourglass Face Detector for Hard Face.
Proceedings of the International Joint Conference on Neural Networks, 2021

Group Fisher Pruning for Practical Network Compression.
Proceedings of the 38th International Conference on Machine Learning, 2021

EFRNet: A Lightweight Network with Efficient Feature Fusion and Refinement for Real-Time Semantic Segmentation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

RGB Guided Depth Map Super-Resolution with Coupled U-Net.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Better Stereo Matching From Simple Yet Effective Wrangling of Deep Features.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Disparity Estimation with Scene Depth Cues.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Towards Impartial Multi-task Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

CLUSAC: Clustering Sample Consensus for Fundamental Matrix Estimation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Parallax Contextual Representations For Stereo Matching.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Enhance Via Decoupling: Improving Multi-Label Classifiers With Variational Feature Augmentation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

TediGAN: Text-Guided Diverse Face Image Generation and Manipulation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

FETNet: Feature Exchange Transformer Network for RGB-D Object Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Lane Line Detection based on Parallel Spatial Separation Convolution.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data.
IEEE Trans. Neural Networks Learn. Syst., 2020

Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Bi-Stream Pose-Guided Region Ensemble Network for Fingertip Localization From Stereo Images.
IEEE Trans. Neural Networks Learn. Syst., 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

An Equalized Margin Loss for Face Recognition.
IEEE Trans. Multim., 2020

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

An α-Matte Boundary Defocus Model-Based Cascaded Network for Multi-Focus Image Fusion.
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

Hyperspectral image denoising based on low-rank coefficients and orthonormal dictionary.
Signal Process., 2020

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

Real-MFF: A large realistic multi-focus image dataset with ground truth.
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

Defocus map estimation from a single image using improved likelihood feature and edge-based basis.
Pattern Recognit., 2020

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

Unsupervised multi-domain multimodal image-to-image translation with explicit domain-constrained disentanglement.
Neural Networks, 2020

Deep learning for image super-resolution.
Neurocomputing, 2020

TediGAN: Text-Guided Diverse Image Generation and Manipulation.
CoRR, 2020

DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference.
CoRR, 2020

Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization.
CoRR, 2020

Towards Certified Robustness of Metric Learning.
CoRR, 2020

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

XSepConv: Extremely Separated Convolution.
CoRR, 2020

Metric Learning for Categorical and Ambiguous Features: An Adversarial Method.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Generalization Bound of Gradient Descent for Non-Convex Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Controllable Continuous Gaze Redirection.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Disturbance-Disentangled Learning for Facial Expression Recognition.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Lightweight Single Image Super-Resolution Through Efficient Second-Order Attention Spindle Network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

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

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

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


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