Taiping Zhang

Orcid: 0000-0001-9891-4203

According to our database1, Taiping Zhang authored at least 77 papers between 2003 and 2025.

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

Timeline

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Bibliography

2025
Combining hierarchical sparse representation with adaptive prompt for few-shot segmentation.
Expert Syst. Appl., 2025

2024
A Full-Reference Image Quality Assessment Method via Deep Meta-Learning and Conformer.
IEEE Trans. Broadcast., March, 2024

PFENet++: Boosting Few-Shot Semantic Segmentation With the Noise-Filtered Context-Aware Prior Mask.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Combining transformers with CNN for multi-focus image fusion.
Expert Syst. Appl., January, 2024

2023
Multi-focus image fusion using structure-guided flow.
Image Vis. Comput., October, 2023

Low-light image enhancement with geometrical sparse representation.
Appl. Intell., May, 2023

Construction and evaluation of networks among multiple postoperative complications.
Comput. Methods Programs Biomed., April, 2023

Attentional Feature Fusion for End-to-End Blind Image Quality Assessment.
IEEE Trans. Broadcast., March, 2023

Intermediate prototype network for few-shot segmentation.
Signal Process., 2023

Object Detection via Multi-Scale Token Based on Vision Transformer.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Semantic Segmentation Based on Vision Transformer via Interactive Attention.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Target-Aware Bi-Transformer for Few-Shot Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

MTSN: Multiscale Temporal Similarity Network for Temporal Action Localization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Lightweight Multi-Scale Based Attention Network for Image Super-Resolution.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Multi-focus image fusion via gradient guidance progressive network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Spatial Similarity Guidance for Few-Shot Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Siamese networks with an online reweighted example for imbalanced data learning.
Pattern Recognit., 2022

Efficient residual attention network for single image super-resolution.
Appl. Intell., 2022

Double Feature Pyramid Networks for Classification and Localization on Object Detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

A Novel GAN based on Progressive Growing Transformer with Capsule Embedding.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Pseudo-Interacting Guided Network for Few-Shot Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Multi-focus image fusion with Geometrical Sparse Representation.
Signal Process. Image Commun., 2021

DCKN: Multi-focus image fusion via dynamic convolutional kernel network.
Signal Process., 2021

A robust image representation method against illumination and occlusion variations.
Image Vis. Comput., 2021

Siamese pyramid residual module with local binary convolution network for single object tracking.
Int. J. Wavelets Multiresolution Inf. Process., 2021

Authentication of optical physical unclonable functions based on single-pixel detection.
CoRR, 2021

Bionic Optical Physical Unclonable Functions for Authentication and Encryption.
CoRR, 2021

Indian Buffet Process-Based on Nonnegative Matrix Factorization with Single Binary Component.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Target-aware for Few-shot Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Channel Hourglass Residual Network For Single Image Super-Resolution.
Proceedings of the International Joint Conference on Neural Networks, 2021

Channel Interaction with Local Enhancement for Few-Shot Semantic Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2021

RGB-Infrared Person Re-Identification Via Multi-Modality Relation Aggregation and Graph Convolution Network.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Explore Connection Pattern And Attention Mechanism For Lightweightimage Super-Resolution.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Graph Affinity Network for Few-Shot Segmentation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm.
Sensors, 2020

The fast clustering algorithm for the big data based on K-means.
Int. J. Wavelets Multiresolution Inf. Process., 2020

Adaptive parameter estimation of GMM and its application in clustering.
Future Gener. Comput. Syst., 2020

Low-Rank Matrix Recovery from Noisy via an MDL Framework-based Atomic Norm.
CoRR, 2020

Learning a Deep Part-based Representation by Preserving Data Distribution.
CoRR, 2020

Non-Local Multi-Focus Image Fusion With Recurrent Neural Networks.
IEEE Access, 2020

Deep Fuzzy Clustering with Weighted Intra-class Variance and Extended Mutual Information Regularization.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019
Multi-view common component discriminant analysis for cross-view classification.
Pattern Recognit., 2019

Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2019

MSST-ResNet: Deep multi-scale spatiotemporal features for robust visual object tracking.
Knowl. Based Syst., 2019

Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks.
Neurocomputing, 2019

MSSTResNet-TLD: A robust tracking method based on tracking-learning-detection framework by using multi-scale spatio-temporal residual network feature model.
Neurocomputing, 2019

A cost-sensitive meta-learning classifier: SPFCNN-Miner.
Future Gener. Comput. Syst., 2019

Big-Data Clustering: K-Means or K-Indicators?
CoRR, 2019

Distribution Preserving Network Embedding.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics.
IEEE Trans. Image Process., 2018

Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Multi-view manifold learning with locality alignment.
Pattern Recognit., 2018

Distribution preserving learning for unsupervised feature selection.
Neurocomputing, 2018

2017
Learning the Distribution Preserving Semantic Subspace for Clustering.
IEEE Trans. Image Process., 2017

Using Graph-Based Ensemble Learning to Classify Imbalanced Data.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2016
Learning Proximity Relations for Feature Selection.
IEEE Trans. Knowl. Data Eng., 2016

Learning the Distribution of Data for Embedding.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016

Minimum Description Length Principle Based Atomic Norm for Synthetic Low-Rank Matrix Recovery.
Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016

2014
An approximate closed-form solution to correlation similarity discriminant analysis.
Neurocomputing, 2014

2013
Occlusion robust Face Recognition with scattering Operator in Gradient Domain.
Int. J. Wavelets Multiresolution Inf. Process., 2013

Learning orthogonal projections for Isomap.
Neurocomputing, 2013

2012
Document Clustering in Correlation Similarity Measure Space.
IEEE Trans. Knowl. Data Eng., 2012

Orthogonal Isometric Projection.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2010
Generalized Discriminant Analysis: A Matrix Exponential Approach.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Incremental Embedding and Learning in the Local Discriminant Subspace With Application to Face Recognition.
IEEE Trans. Syst. Man Cybern. Part C, 2010

Locality Preserving Nonnegative Matrix Factorization with Application to Face Recognition.
Int. J. Wavelets Multiresolution Inf. Process., 2010

A Least-Squares Model to Orthogonal Linear Discriminant Analysis.
Int. J. Pattern Recognit. Artif. Intell., 2010

2009
Face Recognition Under Varying Illumination Using Gradientfaces.
IEEE Trans. Image Process., 2009

Multiscale facial structure representation for face recognition under varying illumination.
Pattern Recognit., 2009

Model-based signature verification with rotation invariant features.
Pattern Recognit., 2009

Combining Eodh and Directional Gradient Density for Offline Signature Verification.
Int. J. Pattern Recognit. Artif. Intell., 2009

Weightiness image Partition in 3D Face Recognition.
Proceedings of the IEEE International Conference on Systems, 2009

2008
Topology Preserving Non-negative Matrix Factorization for Face Recognition.
IEEE Trans. Image Process., 2008

Total variation norm-based nonnegative matrix factorization for identifying discriminant representation of image patterns.
Neurocomputing, 2008

2007
Offline signature verification: A new rotation invariant approach.
Proceedings of the IEEE International Conference on Systems, 2007

Face Recognition Using Topology Preserving Nonnegative Matrix Factorization.
Proceedings of the Computational Intelligence and Security, International Conference, 2007

2003
Observational and theoretical study of spectrally resolved ocean optical properties.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003


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