Cheng-Lin Liu

发表

ICDAR 2011 Chinese Handwriting Recognition Competition

Fei Yin, Cheng-Lin Liu, Da-Han Wang, 2011, 2011 International Conference on Document Analysis and Recognition.

Action recognition by dense trajectories

Cordelia Schmid, Heng Wang, Alexander Kläser, 2011, CVPR 2011.

A Robust System to Detect and Localize Texts in Natural Scene Images

Cheng-Lin Liu, Xinwen Hou, Yi-Feng Pan, 2008, 2008 The Eighth IAPR International Workshop on Document Analysis Systems.

Aspect Ratio Adaptive Normalization for Handwritten Character Recognition

Hiroshi Sako, Cheng-Lin Liu, Masashi Koga, 2000, ICMI.

A Hybrid Approach to Detect and Localize Texts in Natural Scene Images

Cheng-Lin Liu, Xinwen Hou, Yi-Feng Pan, 2011, IEEE Transactions on Image Processing.

Practical Block-Wise Neural Network Architecture Generation

Wei Wu, Junjie Yan, Jing Shao, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Eliminating oscillations in the Internet by time-delayed feedback control

Yu-Ping Tian, Cheng-Lin Liu, Cheng-Lin Liu, 2008 .

Coordination of Multi-Agent Systems with Communication Delays

Yu-Ping Tian, Cheng-Lin Liu, Cheng-Lin Liu, 2008 .

Distributed consensus analysis for a class of heterogeneous multi-agent systems composed of first-order and fourth-order integrators

Fei Liu, Jing Luo, Cheng-Lin Liu, 2016, 2016 12th IEEE International Conference on Control and Automation (ICCA).

A particle filter based on a constrained sampling method for state estimation

Biao Huang, Cheng-Lin Liu, Zhong-Gai Zhao, 2012, 2012 15th International Conference on Information Fusion.

Consensus problem of high-order multi-agent systems under predictor-based algorithm

Fei Liu, Cheng-Lin Liu, Cheng-Lin Liu, 2015, 2015 10th Asian Control Conference (ASCC).

Effect of Improved Path Evaluation for On-line Handwritten Japanese Text Recognition

Masaki Nakagawa, Bilan Zhu, Cheng-Lin Liu, 2009, 2009 10th International Conference on Document Analysis and Recognition.

An improved approach to generating realistic Kanji character images from on-line characters and its benefit to off-line recognition performance

Masaki Nakagawa, Cheng-Lin Liu, Ondrej Velek, 2002, Object recognition supported by user interaction for service robots.

Text Localization in Natural Scene Images Based on Conditional Random Field

Cheng-Lin Liu, Xinwen Hou, Yi-Feng Pan, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Lexicon-Driven Segmentation and Recognition of Handwritten Character Strings for Japanese Address Reading

Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Consensus problem of general linear first-order multi-agent network under communication delay

Fei Liu, Cheng-Lin Liu, Cheng-Lin Liu, 2016, 2016 American Control Conference (ACC).

Contextual text/non-text stroke classification in online handwritten notes with conditional random fields

Cheng-Lin Liu, Adrien Delaye, Cheng-Lin Liu, 2014, Pattern Recognit..

Manifold Regularized Multi-Task Learning

Xu-Yao Zhang, Cheng-Lin Liu, Kaizhu Huang, 2012, ICONIP.

Input ( d ) Input ( a ) Input ( b ) Input A ct iv at

Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang, 2017 .

ICDAR 2013 Chinese Handwriting Recognition Competition

Fei Yin, Qiu-Feng Wang, Xu-Yao Zhang, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Non-text Ink Stroke Classification in Japanese Handwriting Based on Markov Random Fields

Cheng-Lin Liu, Xiang-Dong Zhou, 2007 .

Towards Open-Set Text Recognition via Label-to-Prototype Learning

Cheng-Lin Liu, Chang Liu, Xu-Cheng Yin, 2021, Pattern Recognit..

Handwritten Japanese Character String Recognition Using Conditional Random Fields

Cheng-Lin Liu, Xiang-Dong Zhou, M. Nakagawa, 2009 .

Message from ACPR 2013 chairs

Kim L. Boyer, Yasushi Yagi, Kazuhiko Sumi, 2013 .

An over-segmentation method for single-touching Chinese handwriting with learning-based filtering

Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, 2014, International Journal on Document Analysis and Recognition (IJDAR).

Special issue on advances in graph algorithm and applications

Kaizhu Huang, Cheng-Lin Liu, Zhi-Yong Liu, 2019, Neurocomputing.

A multi-task framework for metric learning with common subspace

Cheng-Lin Liu, Kaizhu Huang, Peipei Yang, 2012, Neural computing & applications (Print).

CASIA Online and Offline Chinese Handwriting Databases

Fei Yin, Cheng-Lin Liu, Da-Han Wang, 2011, 2011 International Conference on Document Analysis and Recognition.

Advances in Brain Inspired Cognitive Systems

Kay Chen Tan, Amir Hussain, Zhaoxiang Zhang, 2016, Lecture Notes in Computer Science.

Catalytic Multisite-Selective Acetoxylation Reactions at sp2 vs sp3 C-H Bonds in Cyclic Olefins.

Cheng-Lin Liu, Pan‐Lin Shao, Yun He, 2016, Organic letters.

Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models

Yi-Chao Wu, Fei Yin, Cheng-Lin Liu, 2017, Pattern Recognit..

Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation

Shuicheng Yan, Guo-Sen Xie, Cheng-Lin Liu, 2016, IEEE Transactions on Circuits and Systems for Video Technology.

Fast kNN Graph Construction with Locality Sensitive Hashing

Kaizhu Huang, Cheng-Lin Liu, Guanggang Geng, 2013, ECML/PKDD.

Natural Scene Character Recognition Using Robust PCA and Sparse Representation

Zheng Zhang, Cheng-Lin Liu, Yong Xu, 2016, 2016 12th IAPR Workshop on Document Analysis Systems (DAS).

A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction

Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao, 2015, ACM Trans. Intell. Syst. Technol..

Handwriting representation and recognition through a sparse projection and low-rank recovery framework

Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

A Flattened Maximally Stable Extremal Region Method for Scene Text Detection

Yuan Feng, Fei Yin, Cheng-Lin Liu, 2017, IGTA.

Adaptive spatial pooling for image classification

Cheng-Lin Liu, Xu-Yao Zhang, Yan-Ming Zhang, 2016, Pattern Recognit..

Deep Direct Regression for Multi-oriented Scene Text Detection

Fei Yin, Cheng-Lin Liu, Wenhao He, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Scene Text Localization Using Gradient Local Correlation

Fei Yin, Cheng-Lin Liu, Bo Bai, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut

Kaizhu Huang, Cheng-Lin Liu, Yan-Ming Zhang, 2011, 2011 IEEE 11th International Conference on Data Mining.

Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

Shiming Xiang, Chunhong Pan, Cheng-Lin Liu, 2014, IEEE Geoscience and Remote Sensing Letters.

Aircraft Detection by Deep Belief Nets

Shiming Xiang, Chunhong Pan, Cheng-Lin Liu, 2013, 2013 2nd IAPR Asian Conference on Pattern Recognition.

Margin-Aware Binarized Weight Networks for Image Classification

Cheng-Lin Liu, Xu-Yao Zhang, Peipei Yang, 2017, ICIG.

Performance evaluation of pattern classifiers for handwritten character recognition

Hiroshi Sako, Cheng-Lin Liu, Hiromichi Fujisawa, 2002, International Journal on Document Analysis and Recognition.

Consensus protocol based on distributed model predictive control for first-order multi-agent systems

Fei Liu, Cheng-Lin Liu, Xin Dai, 2017, 2017 13th IEEE International Conference on Control & Automation (ICCA).

MTC: A Fast and Robust Graph-Based Transductive Learning Method

Kaizhu Huang, Cheng-Lin Liu, Guanggang Geng, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Learning Locality Preserving Graph from Data

Kaizhu Huang, Cheng-Lin Liu, Xinwen Hou, 2014, IEEE Transactions on Cybernetics.

Transductive Learning on Adaptive Graphs

Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou, 2010, AAAI.

Subspace Regularization: A New Semi-supervised Learning Method

Shiming Xiang, Cheng-Lin Liu, Xinwen Hou, 2009, ECML/PKDD.

Integrating supervised subspace criteria with restricted Boltzmann Machine for feature extraction

Guo-Sen Xie, Cheng-Lin Liu, Xu-Yao Zhang, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark

Yoshua Bengio, Cheng-Lin Liu, Xu-Yao Zhang, 2016, Pattern Recognit..

Online Video Text Detection with Markov Decision Process

Fei Yin, Cheng-Lin Liu, Xue-Hang Yang, 2018, 2018 13th IAPR International Workshop on Document Analysis Systems (DAS).

Handwritten digit recognition using state-of-the-art techniques

Hiroshi Sako, Cheng-Lin Liu, Hiromichi Fujisawa, 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

Consensus of Multi-Agent Systems With Diverse Input and Communication Delays

Yu-Ping Tian, Cheng-Lin Liu, Cheng-Lin Liu, 2008, IEEE Transactions on Automatic Control.

Robust Classification with Convolutional Prototype Learning

Fei Yin, Cheng-Lin Liu, Xu-Yao Zhang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Radical-Based Chinese Character Recognition via Multi-Labeled Learning of Deep Residual Networks

Fei Yin, Cheng-Lin Liu, Tie-Qiang Wang, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

A new radical-based approach to online handwritten Chinese character recognition

Cheng-Lin Liu, Long-Long Ma, Cheng-Lin Liu, 2008, 2008 19th International Conference on Pattern Recognition.

Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification

Peng Wang, Bo Xu, Hongwei Hao, 2016, Neurocomputing.

Page Segmentation for Historical Handwritten Documents Using Fully Convolutional Networks

Yue Xu, Fei Yin, Cheng-Lin Liu, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

LG-CNN: From local parts to global discrimination for fine-grained recognition

Shuicheng Yan, Guo-Sen Xie, Wenhan Yang, 2017, Pattern Recognit..

Online and offline handwritten Chinese character recognition: Benchmarking on new databases

Fei Yin, Cheng-Lin Liu, Da-Han Wang, 2013, Pattern Recognit..

Model-based stroke extraction and matching for handwritten Chinese character recognition

Jin Hyung Kim, Cheng-Lin Liu, In-Jung Kim, 2001, Pattern Recognit..

Stroke-guided pixel matching for handwritten Chinese character recognition

Jin Hyung Kim, Cheng-Lin Liu, In-Jung Kim, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

Page Object Detection from PDF Document Images by Deep Structured Prediction and Supervised Clustering

Fei Yin, Cheng-Lin Liu, Xiaohui Li, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation

Cheng-Lin Liu, Yingying Jiang, Xiaobing Wang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multi-Oriented and Multi-Lingual Scene Text Detection With Direct Regression

Fei Yin, Cheng-Lin Liu, Xu-Yao Zhang, 2018, IEEE Transactions on Image Processing.

Geometry preserving multi-task metric learning

Kaizhu Huang, Cheng-Lin Liu, Peipei Yang, 2012, Machine Learning.

Dense Trajectories and Motion Boundary Descriptors for Action Recognition

Cordelia Schmid, Heng Wang, Alexander Kläser, 2013, International Journal of Computer Vision.

Prototype Augmentation and Self-Supervision for Incremental Learning

Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Drawing and Recognizing Chinese Characters with Recurrent Neural Network

Yoshua Bengio, Fei Yin, Cheng-Lin Liu, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Character Recognition Systems: A Guide for Students and Practitioners

Ching Y. Suen, Nawwaf Kharma, Cheng-Lin Liu, 2007 .

'Online recognition of Chinese characters: the state-of-the-art

Masaki Nakagawa, Cheng-Lin Liu, Stefan Jäger, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semantic Clustering and Convolutional Neural Network for Short Text Categorization

Peng Wang, Heng Zhang, Bo Xu, 2015, ACL.

Class-Incremental Learning via Dual Augmentation

Xu-Yao Zhang, Cheng-Lin Liu, Fei Zhu, 2021, NeurIPS.

Convolutional Prototype Network for Open Set Recognition

Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition

Huiguang He, Cheng-Lin Liu, Jinpeng Li, 2020, IEEE Transactions on Cybernetics.

OpenMix: Exploring Outlier Samples for Misclassification Detection

Xu-Yao Zhang, Cheng-Lin Liu, Fei Zhu, 2023, 2303.17093.

Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection

Xu-Yao Zhang, Cheng-Lin Liu, Fei Zhu, 2023, ArXiv.

A Survey on Learning to Reject

Xu-Yao Zhang, Cheng-Lin Liu, Guosen Xie, 2023, Proceedings of the IEEE.

Learning by Seeing More Classes

Xu-Yao Zhang, Cheng-Lin Liu, Rui-Qi Wang, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Rethinking Confidence Calibration for Failure Prediction

Xu-Yao Zhang, Cheng-Lin Liu, Cheng-Lin Liu, 2023, ECCV.

Towards Robust Pattern Recognition: A Review

Ching Y. Suen, Xu-Yao Zhang, Cheng-Lin Liu, 2020, Proceedings of the IEEE.

Fast instance selection for speeding up support vector machines

Caiming Zhang, Xiaoping Xue, Cheng-Lin Liu, 2013, Knowl. Based Syst..

Classifier combination based on confidence transformation

Cheng-Lin Liu, Cheng-Lin Liu, 2005, Pattern Recognit..

Confidence Transformation for Combining Classifiers

Hiroshi Sako, Hongwei Hao, Cheng-Lin Liu, 2004, Pattern Analysis and Applications.

A fast projected fixed-point algorithm for large graph matching

Yao Lu, Kaizhu Huang, Cheng-Lin Liu, 2012, Pattern Recognit..

Multi-view Semi-supervised 3D Whole Brain Segmentation with a Self-ensemble Network

Cheng-Lin Liu, Yan-Ming Zhang, Yuan-Xing Zhao, 2019, MICCAI.

An evaluation of statistical methods in handwritten hangul recognition

Cheng-Lin Liu, In-Jung Kim, Gyu-Ro Park, 2013, International Journal on Document Analysis and Recognition.

Handwritten Chinese text line segmentation by clustering with distance metric learning

Fei Yin, Cheng-Lin Liu, Fei Yin, 2009, Pattern Recognit..

Regularized margin-based conditional log-likelihood loss for prototype learning

Xiaobo Jin, Cheng-Lin Liu, Xinwen Hou, 2010, Pattern Recognit..

Normalization-Cooperated Gradient Feature Extraction for Handwritten Character Recognition

Cheng-Lin Liu, Cheng-Lin Liu, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Handwritten Chinese Character Recognition: Effects of Shape Normalization and Feature Extraction

Cheng-Lin Liu, Cheng-Lin Liu, 2006, SACH.

High Accuracy Handwritten Chinese Character Recognition Using Quadratic Classifiers with Discriminative Feature Extraction

Cheng-Lin Liu, Cheng-Lin Liu, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Pseudo two-dimensional shape normalization methods for handwritten Chinese character recognition

Cheng-Lin Liu, Katsumi Marukawa, Cheng-Lin Liu, 2005, Pattern Recognit..

Global shape normalization for handwritten Chinese character recognition: a new method

Cheng-Lin Liu, Katsumi Marukawa, Cheng-Lin Liu, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Discriminative learning quadratic discriminant function for handwriting recognition

Hiroshi Sako, Cheng-Lin Liu, Hiromichi Fujisawa, 2004, IEEE Transactions on Neural Networks.

Handwritten digit recognition: investigation of normalization and feature extraction techniques

Hiroshi Sako, Cheng-Lin Liu, Hiromichi Fujisawa, 2004, Pattern Recognit..

Handwritten Chinese character recognition: alternatives to nonlinear normalization

Hiroshi Sako, Cheng-Lin Liu, Hiromichi Fujisawa, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Classification and Learning Methods for Character Recognition: Advances and Remaining Problems

Cheng-Lin Liu, Hiromichi Fujisawa, Cheng-Lin Liu, 2008, Machine Learning in Document Analysis and Recognition.

Data-Distortion Guided Self-Distillation for Deep Neural Networks

Cheng-Lin Liu, Ting-Bing Xu, Cheng-Lin Liu, 2019, AAAI.

ICDAR2017 Robust Reading Challenge on Multi-Lingual Scene Text Detection and Script Identification - RRC-MLT

Wafa Khlif, Umapada Pal, Yuan Feng, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition — RRC-MLT-2019

Wafa Khlif, Jiri Matas, Umapada Pal, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting

Wei Feng, Wenhao He, Fei Yin, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Total-Text: toward orientation robustness in scene text detection

Chee Seng Chan, Cheng-Lin Liu, Chee-Kheng Ch’ng, 2019, International Journal on Document Analysis and Recognition (IJDAR).

Traffic Sign Detection Using a Cascade Method With Fast Feature Extraction and Saliency Test

Cheng-Lin Liu, Dongdong Wang, Jiawei Xu, 2017, IEEE Transactions on Intelligent Transportation Systems.

Pattern Recognition and Computer Vision

Nanning Zheng, Hongbin Zha, Xilin Chen, 2018, Lecture Notes in Computer Science.

Texts as points: Scene text detection with point supervision

Fei Yin, Cheng-Lin Liu, Mengbiao Zhao, 2023, Pattern Recognit. Lett..

End-to-End Online Writer Identification With Recurrent Neural Network

Yoshua Bengio, Guo-Sen Xie, Cheng-Lin Liu, 2017, IEEE Transactions on Human-Machine Systems.

MuLTReNets: Multilingual text recognition networks for simultaneous script identification and handwriting recognition

Cheng-Lin Liu, Zhuo Chen, Xu-Yao Zhang, 2020, Pattern Recognit..

Fully Convolutional Network Based Skeletonization for Handwritten Chinese Characters

Cheng-Lin Liu, Tie-Qiang Wang, Cheng-Lin Liu, 2018, AAAI.

2009 10th International Conference on Document Analysis and Recognition A Variational Bayes Method for Handwritten Text Line Segmentation

Fei Yin, Cheng-Lin Liu, Fei Yin, 2022 .

Decision Controller for Object Tracking With Deep Reinforcement Learning

Cheng-Lin Liu, Wei Wu, Zhao Zhong, 2019, IEEE Access.

Anomaly Detection via Minimum Likelihood Generative Adversarial Networks

Cheng-Lin Liu, Chu Wang, Yan-Ming Zhang, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

BlockQNN: Efficient Block-Wise Neural Network Architecture Generation

Wei Wu, Junjie Yan, Jing Shao, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Retargeted Least Squares Regression Algorithm

Shiming Xiang, Cheng-Lin Liu, Xu-Yao Zhang, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Dense Trajectories and Motion Boundary Descriptors for Action Recognition

C. Schmid, Heng Wang, Alexander Kläser, 2013, International Journal of Computer Vision.

Page Segmentation Using Convolutional Neural Network and Graphical Model

Cheng-Lin Liu, Xiaohui Li, Fei Yin, 2020, DAS.

Deep Neural Network Self-Distillation Exploiting Data Representation Invariance

Cheng-Lin Liu, Ting-Bing Xu, Cheng-Lin Liu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

GSS: Graph-Based Subspace Learning with Shots Initialization for few-shot Recognition

Xu-Yao Zhang, Cheng-Lin Liu, Rui-Qi Wang, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition

Fei Yin, Xu-Yao Zhang, Jin-Wen Wu, 2021, AAAI.

Text Detection, Tracking and Recognition in Video: A Comprehensive Survey

Xu-Cheng Yin, Cheng-Lin Liu, Shu Tian, 2016, IEEE Transactions on Image Processing.

Pattern Recognition and Computer Vision

Nanning Zheng, Hongbin Zha, Xilin Chen, 2018, Lecture Notes in Computer Science.

Error-correcting output codes based ensemble feature extraction

Cheng-Lin Liu, Guoqiang Zhong, Cheng-Lin Liu, 2013, Pattern Recognit..

A pooled subspace mixture density model for pattern classification in high-dimensional spaces

Cheng-Lin Liu, Xinwen Hou, Xiao-Hua Liu, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Deep Learning Based Handwritten Chinese Character and Text Recognition

Yi-Chao Wu, Fei Yin, Cheng-Lin Liu, 2019, Cognitive Computation Trends.

Evaluation of neural network language models in handwritten Chinese text recognition

Yi-Chao Wu, Fei Yin, Cheng-Lin Liu, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss

Cheng-Lin Liu, Yanming Zhang, Cheng-Lin Liu, 2022, Cognitive Computation.

Bag of Tricks for 3D MRI Brain Tumor Segmentation

Yan-Ming Zhang, Cheng-Lin Liu, Yuan-Xing Zhao, 2019, BrainLes@MICCAI.

Context-aware mathematical expression recognition: An end-to-end framework and a benchmark

Han Hu, Errui Ding, Fei Yin, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized Loss

Cheng-Lin Liu, Yan-Ming Zhang, Ming Song, 2021, MICCAI.

Common Sense Knowledge for Handwritten Chinese Text Recognition

E. Cambria, A. Hussain, Qiu-Feng Wang, 2013, Cognitive Computation.

Handwritten Chinese Text Recognition by Integrating Multiple Contexts

Fei Yin, Cheng-Lin Liu, Qiu-Feng Wang, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Improving Handwritten Chinese Text Recognition by Unsupervised Language Model Adaptation

Fei Yin, Cheng-Lin Liu, Qiu-Feng Wang, 2012, 2012 10th IAPR International Workshop on Document Analysis Systems.

Integrating Language Model in Handwritten Chinese Text Recognition

Fei Yin, Cheng-Lin Liu, Qiu-Feng Wang, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Weakly Supervised Learning for Over-Segmentation Based Handwritten Chinese Text Recognition

Cheng-Lin Liu, Fei Yin, Zhen-Xing Wang, 2020, 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR).

Unsupervised language model adaptation for handwritten Chinese text recognition

Fei Yin, Cheng-Lin Liu, Qiu-Feng Wang, 2014, Pattern Recognit..

Class-specific feature polynomial classifier for pattern classification and its application to handwritten numeral recognition

Hiroshi Sako, Cheng-Lin Liu, Cheng-Lin Liu, 2006, Pattern Recognit..

LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation

Cheng-Lin Liu, Xu-Yao Zhang, Peipei Yang, 2019, Pattern Recognit..

Feature Extraction, Selection, and Creation

Cheng-Lin Liu, Ching Y. Suen, Mohamed Cheriet, 2007 .

Multi-branch guided attention network for irregular text recognition

Cheng-Lin Liu, Cong Wang, Cheng-Lin Liu, 2020, Neurocomputing.

Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition

Xu-Yao Zhang, Cheng-Lin Liu, Cheng-Lin Liu, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Keyword spotting in handwritten chinese documents using semi-markov conditional random fields

Cheng-Lin Liu, Heng Zhang, Xiang-Dong Zhou, 2017, Eng. Appl. Artif. Intell..

Incremental Adaptive Learning Vector Quantization for Character Recognition with Continuous Style Adaptation

Cheng-Lin Liu, Yuan-Yuan Shen, Cheng-Lin Liu, 2018, Cognitive Computation.

Incremental Learning Vector Quantization for Character Recognition with Local Style Consistency

Cheng-Lin Liu, Yuan-Yuan Shen, Cheng-Lin Liu, 2016, BICS.

Scene Text Recognition with Sliding Convolutional Character Models pdf

Yi-Chao Wu, Fei Yin, Cheng-Lin Liu, 2017, ArXiv.

Insect Species Recognition using Sparse Representation

Chen Lin, Cheng-Lin Liu, An Lu, 2010, BMVC.

Feature Selection by Combining Fisher Criterion and Principal Feature Analysis

Cheng-Lin Liu, Sa Wang, Lian Zheng, 2007, 2007 International Conference on Machine Learning and Cybernetics.

Learning confidence transformation for handwritten Chinese text recognition

Cheng-Lin Liu, Da-Han Wang, 2014, International Journal on Document Analysis and Recognition (IJDAR).

Character confidence based on N-best list for keyword spotting in online Chinese handwritten documents

Heng Zhang, Cheng-Lin Liu, Da-Han Wang, 2014, Pattern Recognit..

Writer Adaptation with Style Transfer Mapping

Cheng-Lin Liu, Xu-Yao Zhang, Xu-Yao Zhang, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Context modeling for text/non-text separation in free-form online handwritten documents

Cheng-Lin Liu, Adrien Delaye, Cheng-Lin Liu, 2013, Electronic Imaging.

A robust model for on-line handwritten japanese text recognition

Masaki Nakagawa, Bilan Zhu, Cheng-Lin Liu, 2010, Electronic Imaging.

Text/Non-text Ink Stroke Classification in Japanese Handwriting Based on Markov Random Fields

Éric Anquetil, Solen Quiniou, C.-L. Liu, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Frequency coding: an effective method for combining dichotomizers

Mark Turner, George Nagy, Cheng-Lin Liu, 2007, Electronic Imaging.

Confidence evaluation for combining diverse classifiers

Hiroshi Sako, Hongwei Hao, Cheng-Lin Liu, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Handwritten digit recognition: benchmarking of state-of-the-art techniques

Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa, 2003, Pattern Recognit..

High accuracy handwritten Chinese character recognition using LDA-based compound distances

Cheng-Lin Liu, Tian-Fu Gao, Cheng-Lin Liu, 2008, Pattern Recognit..

High accuracy handwritten Chinese character recognition by improved feature matching method

Jin Hyung Kim, Cheng-Lin Liu, In-Jung Kim, 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.

HighaccuracyhandwrittenChinesecharacterrecognitionusingLDA-basedcompound distances

Cheng-Lin Liu, Cheng-lin Liu, T.-F. Gao, 2008 .

Realtime multi-scale scene text detection with scale-based region proposal network

Cheng-Lin Liu, Wenhao He, Fei Yin, 2020, Pattern Recognit..

Online Handwritten Japanese Character String Recognition Incorporating Geometric Context

Takeshi Nagasaki, Katsumi Marukawa, C.-L. Liu, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

SDE: A Novel Selective, Discriminative and Equalizing Feature Representation for Visual Recognition

Shuicheng Yan, Xu-Yao Zhang, Cheng-Lin Liu, 2017, International Journal of Computer Vision.

Adversarial training with distribution normalization and margin balance

Xu-Yao Zhang, Cheng-Lin Liu, Fei Zhu, 2022, Pattern Recognit..

Primitive Contrastive Learning for Handwritten Mathematical Expression Recognition

Fei Yin, Cheng-Lin Liu, Cheng-Lin Liu, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Evaluation of prototype learning algorithms for nearest-neighbor classifier in application to handwritten character recognition

Masaki Nakagawa, Cheng-Lin Liu, Cheng-Lin Liu, 2001, Pattern Recognit..

Imitating the oracle: Towards calibrated model for class incremental learning

Xu-Yao Zhang, Cheng-Lin Liu, Fei Zhu, 2023, Neural Networks.

Calibration for Non-Exemplar Based Class-Incremental Learning

Xu-Yao Zhang, Cheng-Lin Liu, Fei Zhu, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

Gaussian Process Latent Random Field

Wu-Jun Li, Dit-Yan Yeung, Cheng-Lin Liu, 2010, AAAI.

Teaching machines to write like humans using L-attributed grammar

Cheng-Lin Liu, Yunxue Shao, Cheng-Lin Liu, 2020, Eng. Appl. Artif. Intell..

Simultaneous Script Identification and Handwriting Recognition via Multi-Task Learning of Recurrent Neural Networks

Fei Yin, Cheng-Lin Liu, Yichao Wu, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

Chinese Handwriting Recognition Contest 2010

Fei Yin, Da-Han Wang, Cheng-Lin Liu, 2010, 2010 Chinese Conference on Pattern Recognition (CCPR).

An approach for real-time recognition of online Chinese handwritten sentences

Cheng-Lin Liu, Da-Han Wang, Xiang-Dong Zhou, 2012, Pattern Recognit..

Online Japanese Character Recognition Using Trajectory-Based Normalization and Direction Feature Extraction

Cheng-Lin Liu, Xiang-Dong Zhou, Cheng-Lin Liu, 2006 .

ICDAR 2013 Chinese Handwriting Recognition Competition

Fei Yin, Qiu-Feng Wang, Xu-Yao Zhang, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm

Wei Feng, Fei Yin, Xu-Yao Zhang, 2022, IEEE Transactions on Image Processing.

Deformable scene text detection using harmonic features and modified pixel aggregation network

Palaiahnakote Shivakumara, Umapada Pal, Cheng-Lin Liu, 2021, Pattern Recognit. Lett..

Semantic-Aware Video Text Detection

Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Two-Level Rectification Attention Network for Scene Text Recognition

Cheng-Lin Liu, Junhui Hou, C. L. P. Chen, 2023, IEEE Transactions on Multimedia.

Cross-Lingual Text Image Recognition via Multi-Hierarchy Cross-Modal Mimic

Fei Yin, Cheng-Lin Liu, Qing Yang, 2023, IEEE Transactions on Multimedia.

Contextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks

Cheng-Lin Liu, Yanming Zhang, Jun-Yu Ye, 2020 .

Handwritten Text Recognition with Convolutional Prototype Network and Most Aligned Frame Based CTC Training

Heng Zhang, Cheng-Lin Liu, Likun Gao, 2021, ICDAR.

Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm pdf

Cheng-Lin Liu, Wei Feng, Fei Yin, 2020, ArXiv.

Practical Network Blocks Design with Q-Learning pdf

Junjie Yan, Cheng-Lin Liu, Zhao Zhong, 2017, ArXiv.

A Large-Scale Database for Chemical Structure Recognition and Preliminary Evaluation

Fei Yin, Cheng-Lin Liu, Cheng-Lin Liu, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Handwritten Mathematical Expression Recognition via Paired Adversarial Learning

Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, 2020, International Journal of Computer Vision.

Handwritten Mathematical Expression Recognition via Paired Adversarial Learning

Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, 2020, International Journal of Computer Vision.

Image-to-Markup Generation via Paired Adversarial Learning

Fei Yin, Cheng-Lin Liu, Xu-Yao Zhang, 2018, ECML/PKDD.

Page Segmentation for Historical Document Images Based on Superpixel Classification with Unsupervised Feature Learning

Marcus Liwicki, Rolf Ingold, Jean Hennebert, 2016, 2016 12th IAPR Workshop on Document Analysis Systems (DAS).

SCAN: Sliding Convolutional Attention Network for Scene Text Recognition pdf

Li Liu, Yi-Chao Wu, Fei Yin, 2018, ArXiv.

Online semi-supervised learning with learning vector quantization

Cheng-Lin Liu, Xu-Yao Zhang, Yan-Ming Zhang, 2020, Neurocomputing.

Evaluation of weighted Fisher criteria for large category dimensionality reduction in application to Chinese handwriting recognition

Cheng-Lin Liu, Xu-Yao Zhang, Xu-Yao Zhang, 2013, Pattern Recognit..

Maxi-Min discriminant analysis via online learning

Bo Xu, Kaizhu Huang, Cheng-Lin Liu, 2012, Neural Networks.

Confused Distance Maximization for Large Category Dimensionality Reduction

Cheng-Lin Liu, Xu-Yao Zhang, Xu-Yao Zhang, 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks

Yue Xu, Zhaoxiang Zhang, Fei Yin, 2018, IJCAI.

Effects of classifier structures and training regimes on integrated segmentation and recognition of handwritten numeral strings

Hiroshi Sako, Cheng-Lin Liu, Hiromichi Fujisawa, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Table Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing

Fei Yin, Cheng-Lin Liu, Cheng-Lin Liu, 2022, Pattern Recognit..

Adaptive Scaling for Archival Table Structure Recognition

Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, 2021, ICDAR.

Training with scaled logits to alleviate class-level over-fitting in few-shot learning

Xu-Yao Zhang, Cheng-Lin Liu, Rui-Qi Wang, 2022, Neurocomputing.

Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks

Cheng-Lin Liu, Changde Du, Huiguang He, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Page Segmentation for Historical Handwritten Document Images Using Conditional Random Fields

Marcus Liwicki, Rolf Ingold, Jean Hennebert, 2016, 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR).

Decision-Based Adversarial Attack With Frequency Mixup

Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, 2022, IEEE Transactions on Information Forensics and Security.

Deep Transfer Mapping for Unsupervised Writer Adaptation

Jun Sun, Fei Yin, Cheng-Lin Liu, 2018, 2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR).

Residual Dual Scale Scene Text Spotting by Fusing Bottom-Up and Top-Down Processing

Cheng-Lin Liu, Wei Feng, Wenhao He, 2020, International Journal of Computer Vision.

DPAM: A New Deep Parallel Attention Model for Multiple License Plate Number Recognition

Pinaki Nath Chowdhury, Cheng-Lin Liu, U. Pal, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Handwritten Chinese character recognition: effects of shape normalization and feature extraction

Cheng-Lin Liu, 2006 .

Discriminative model selection for Gaussian mixture models for classification

Cheng-Lin Liu, Xiao-Hua Liu, Cheng-Lin Liu, 2011, The First Asian Conference on Pattern Recognition.

Scene Text Detection with Novel Superpixel Based Character Candidate Extraction

Cong Wang, Fei Yin, Cheng-Lin Liu, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

Effective Candidate Component Extraction for Text Localization in Born-Digital Images by Combining Text Contours and Stroke Interior Regions

Kai Chen, Fei Yin, Cheng-Lin Liu, 2016, 2016 12th IAPR Workshop on Document Analysis Systems (DAS).

Efficient text localization in born-digital images by local contrast-based segmentation

Kai Chen, Amir Hussain, Fei Yin, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks

Jun-Yu Ye, Cheng-Lin Liu, Qing Yang, 2021, Pattern Recognit..

Touching Character Splitting of Chinese Handwriting Using Contour Analysis and DTW

Liang Xu, Fei Yin, Cheng-Lin Liu, 2010, 2010 Chinese Conference on Pattern Recognition (CCPR).

DCT-DWT-FFT Based Method for Text Detection in Underwater Images

Cheng-Lin Liu, U. Pal, P. Shivakumara, 2021, ACPR.

Discriminative quadratic feature learning for handwritten Chinese character recognition

Fei Yin, Cheng-Lin Liu, Xu-Yao Zhang, 2016, Pattern Recognit..

Handwritten Chinese character recognition with spatial transformer and deep residual networks

Fei Yin, Cheng-Lin Liu, Xu-Yao Zhang, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Vehicle Detection in Satellite Images by Parallel Deep Convolutional Neural Networks

Shiming Xiang, Chunhong Pan, Cheng-Lin Liu, 2013, 2013 2nd IAPR Asian Conference on Pattern Recognition.

Chinese character recognition: history, status and prospects

Cheng-Lin Liu, Baihua Xiao, Ru-Wei Dai, 2007 .

Common Sense Knowledge for Handwritten Chinese Text Recognition

Erik Cambria, Amir Hussain, Cheng-Lin Liu, 2013, Cognitive Computation.

Deep representation learning for domain generalization with information bottleneck principle

Xu-Yao Zhang, Cheng-Lin Liu, Chuan Wang, 2023, Pattern Recognit..

Handwriting Style Mixture Adaptation

Fei Yin, Cheng-Lin Liu, Xu-Yao Zhang, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

Style transfer matrix learning for writer adaptation

Cheng-Lin Liu, Xu-Yao Zhang, Xu-Yao Zhang, 2011, CVPR 2011.

A New Language-Independent Deep CNN for Scene Text Detection and Style Transfer in Social Media Images

Cheng-Lin Liu, Tong Lu, U. Pal, 2023, IEEE Transactions on Image Processing.

A new benchmark on the recognition of handwritten Bangla and Farsi numeral characters

Ching Y. Suen, Cheng-Lin Liu, C. Suen, 2009, Pattern Recognit..

Transductive Learning on Adaptive Graphs

D. Yeung, Cheng-Lin Liu, Xinwen Hou, 2010, AAAI.

A Convolutional Architecture for Short Text Expansion and Classification

Peng Wang, Bo Xu, Hongwei Hao, 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

CASIA-AHCDB: A Large-Scale Chinese Ancient Handwritten Characters Database

Cheng-Lin Liu, Zhaoxiang Zhang, Da-Han Wang, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

Low Rank Metric Learning with Manifold Regularization

Kaizhu Huang, Cheng-Lin Liu, Guoqiang Zhong, 2011, 2011 IEEE 11th International Conference on Data Mining.

Towards prior gap and representation gap for long-tailed recognition

Xu-Yao Zhang, Cheng-Lin Liu, Chuan Wang, 2022, Pattern Recognit..

Dynamics-Aware Loss for Learning with Label Noise

Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu, 2023, Pattern Recognit..

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Replacing Backpropagation with Biological Plausible Top-down Credit Assignment in Deep Neural Networks Training

Cheng-Lin Liu, Zuo-Ren Wang, Jian-Hui Chen, 2022, ArXiv.

Action recognition by dense trajectories

C. Schmid, Heng Wang, Alexander Kläser, 2011, CVPR 2011.

Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networks pdf

Yuqi Wang, Cheng-Lin Liu, Zhaoxiang Zhang, 2022, ArXiv.

Enhancement of Low Light Level Images with coupled dictionary learning

Chunhong Pan, Jie Yang, Xinwei Jiang, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Effective license plate detection using fast candidate region selection and covariance feature based filtering

Mingwu Ren, Cheng-Lin Liu, Xu-Yao Zhang, 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Proceedings. Lecture Notes in Computer Science 10023

Kay Chen Tan, Amir Hussain, Zhaoxiang Zhang, 2016 .

Instance Aware Document Image Segmentation using Label Pyramid Networks and Deep Watershed Transformation

Cheng-Lin Liu, Long Liu, Xiaohui Li, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

Fast scene text localization by learning-based filtering and verification

Cheng-Lin Liu, Xinwen Hou, Yi-Feng Pan, 2010, 2010 IEEE International Conference on Image Processing.

One-Stage Open Set Object Detection with Prototype Learning

Cheng-Lin Liu, Peipei Yang, Yongyu Xiong, 2021, ICONIP.

A Compact Spatial Feature Representation for Image Classification

Cheng-Lin Liu, Yinglu Liu, Xinwen Hou, 2013, 2013 2nd IAPR Asian Conference on Pattern Recognition.

Optical flow robust estimation in a hybrid multi-resolution MRF framework

Véronique Prinet, Cheng-Lin Liu, Liang Shao, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multiple Outlooks Learning with Support Vector Machines

Kaizhu Huang, Cheng-Lin Liu, Xu-Yao Zhang, 2012, ICONIP.

Oracle Character Recognition by Nearest Neighbor Classification with Deep Metric Learning

Cheng-Lin Liu, Heng Zhang, Qing Yang, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

A robust approach to text line grouping in online handwritten Japanese documents

Cheng-Lin Liu, Da-Han Wang, Xiang-Dong Zhou, 2009, Pattern Recognit..

Grouping Text Lines in Online Handwritten Japanese Documents by Combining Temporal and Spatial Information

S. Navaneetha Krishnan, Shinji Moriya, Cheng-Lin Liu, 2008, Document Analysis Systems.

Mutually Guided Dual-Task Network for Scene Text Detection

Wei Feng, Fei Yin, Xu-Yao Zhang, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning

Cheng-Lin Liu, Chuan Wang, Fei Zhu, 2023, Pattern Recognit..

SRR-GAN: Super-Resolution based Recognition with GAN for Low-Resolved Text Images

Cheng-Lin Liu, Fei Yin, Ming-Chao Xu, 2020, 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR).

Feature Transformation with Class Conditional Decorrelation

Kaizhu Huang, Cheng-Lin Liu, Xu-Yao Zhang, 2013, 2013 IEEE 13th International Conference on Data Mining.

Normalization ensemble for handwritten character recognition

Cheng-Lin Liu, Katsumi Marukawa, Cheng-Lin Liu, 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

Plane Geometry Diagram Parsing

Fei Yin, Cheng-Lin Liu, Cheng-Lin Liu, 2022, IJCAI.

Chinese character recognition: history, status and prospects

Baihua Xiao, Ruwei Dai, Chenglin Liu, 2007, Frontiers of Computer Science in China.

Multi-Task Low-Rank Metric Learning Based on Common Subspace

Kaizhu Huang, Cheng-Lin Liu, Peipei Yang, 2011, ICONIP.

Insect Recognition Under Natural Scenes Using R-FCN with Anchor Boxes Estimation

Yong Wang, Cheng-Lin Liu, Xiaolin Chen, 2019, ICIG.

TR-LDA: A Cascaded Key-Bigram Extractor for Microblog Summarization

Cheng-Lin Liu, Heng Zhang, Hong-Wei Hao, 2015 .

DyGAT: Dynamic stroke classification of online handwritten documents and sketches

Fei Yin, Cheng-Lin Liu, Yanming Zhang, 2023, Pattern Recognit..

Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models

Fei Yin, Cheng-Lin Liu, Yi-Chao Wu, 2017, Pattern Recognit..

Aircraft Detection by Deep Convolutional Neural Networks

Shiming Xiang, Chunhong Pan, Cheng-Lin Liu, 2015, IPSJ Trans. Comput. Vis. Appl..

SDE: A Novel Selective, Discriminative and Equalizing Feature Representation for Visual Recognition

Shuicheng Yan, Guo-Sen Xie, Xu-Yao Zhang, 2017, International Journal of Computer Vision.

The state of the art in Japanese online handwriting recognition compared to techniques in western handwriting recognition

Masaki Nakagawa, Cheng-Lin Liu, Stefan Jäger, 2003, Document Analysis and Recognition.