Jun Tan

Orcid: 0000-0002-2281-5599

Affiliations:
  • Sun Yat-sen University, School of Mathematics, Guangdong Province Key Laboratory of Computational Science, Guangzhou, China (PhD 2013)


According to our database1, Jun Tan authored at least 28 papers between 2012 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
A Diffusion Model Embedded WCSAU-Net for 3D MRI Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

An Improved Pix2Pix GAN for Medical Image Generation.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024

2023
Relative Position Embedding Asymmetric Siamese Network for Offline Handwritten Mathematical Expression recognition.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2022
Attention Embedding ResNet for Pest Classification.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

An Encoder-Decoder Approach to Offline Handwritten Mathematical Expression Recognition with Residual Attention.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Scene Text Recognition: An Overview.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Visual Transformer-Based Models: A Survey.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

CCLSL: Combination of Contrastive Learning and Supervised Learning for Handwritten Mathematical Expression Recognition.
Proceedings of the Computer Vision - ACCV 2022, 2022

2020
Application of Deep Learning for Online Handwritten Mathematical Expression Recognition: A Review.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Overview of Crowd Counting.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Application of Deep Learning in Handwritten Mathematical Expressions Recognition.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Differences and Similarities Learning for Unsupervised Feature Selection.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Overview: Research Progress on Pest and Disease Identification.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Overview of Mathematical Expression Recognition.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Handwritten Mathematical Expression Recognition: A Survey.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

2019
A multi-feature selection approach for gender identification of handwriting based on kernel mutual information.
Pattern Recognit. Lett., 2019

The Handwritten Chinese Character Recognition Uses Convolutional Neural Networks with the GoogLeNet.
Int. J. Pattern Recognit. Artif. Intell., 2019

Residual BiRNN Based Seq2Seq Model with Transition Probability Matrix for Online Handwritten Mathematical Expression Recognition.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018
High-dimensional supervised feature selection via optimized kernel mutual information.
Expert Syst. Appl., 2018

An Embedded Method for Feature Selection Using Kernel Parameter Descent Support Vector Machine.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

A Modified PSRoI Pooling with Spatial Information.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2016
Multi-feature Selection of Handwriting for Gender Identification Using Mutual Information.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

2014
Case-based teaching using the Laboratory Animal System for learning C/C++ programming.
Comput. Educ., 2014

2013
Chinese Handwritten Writer Identification based on Structure Features and Extreme Learning Machine.
Proceedings of the 2nd ICDAR International Workshop on Automated Forensic Handwriting Analysis, 2013

2012
Radical Extraction Using Affine Sparse Matrix Factorization for Printed Chinese Characters Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2012

A new handwritten character segmentation method based on nonlinear clustering.
Neurocomputing, 2012

The dataset system of Economic Dispute handwritten (DSEDH) based on stroke shape and structure features.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A Novel Approach for Stroke Extraction of Off-Line Chinese Handwritten Characters Based on Optimum Paths.
Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition, 2012


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