Publications

All the publications related to this project are uploaded continuously. There is the list ordered according to the year of publication.

2015

  • Nibal Nayef, Jean-Marc Ogier, “Text Zone Classification using Unsupervised Feature Learning”, ICDAR, 2015.[PDF]
  • Viet Phuong Le, Nibal Nayef, Muriel Visani, Jean-Marc Ogier, Cao De Tran, “Text and Non-text Segmentation based on Connected Component Features”, ICDAR, 2015.[PDF]
  • Kai Chen, Fei Yin, Amir Hussain, Cheng-Lin Liu, “Efficient text localization in born-digital images by local contrast-based segmentation”, Proc. 13th ICDAR, Nancy, France, 2015, pp.291-295.[PDF]
  • Xin He, Yi-Chao Wu, Kai Chen, Fei Chen, Cheng-Lin Liu, Neural Network Based Over-Segmentation for Scene Text Recognition, Proc. 3rd ACPR, Kuala Lumpur, Malaysia, 2015.[PDF]
  • Nibal Nayef, Muhammad Muzzamil Luqman, Sophea Prum, Sebastien Eskenazi, Joseph Chazalon, and Jean-Marc Ogier, “SmartDoc-QA: A Dataset for Quality Assessment of Smartphone Captured Document Images – Single and Multiple Distortions”, CBDAR workshop, 2015.[PDF]

2016

  • Viet Phuong Le, Nibal Nayef, Muriel Visani, Jean-Marc Ogier, Cao De Tran, “Time-efficient Logo Spotting using Text/Non-text Separation as Preprocessing and Approximate Nearest Neighbor Search”, CORIA-CIFED, 2016.[PDF***]
  • Zheng Zhang, Yong Xu, Cheng-Lin Liu, “Natural Scene Character Recognition Using Robust PCA and Sparse Representation”, Proc. 12th IAPR Workshop on DAS, 2016, pp.340-345.[PDF]
  • Kai Chen, Fei Yin, Cheng-Lin Liu, “Effective Candidate Component Extraction for Text Localization in Born-Digital Images by Combining Text Contours and Stroke Interior Regions”, Proc. 12th IAPR Workshop on DAS, 2016, pp.352-357.[PDF]

2017

  • Nibal Nayef, Fei Yin, Imen Bizid, Hyunsoo Choi, Yuan Feng, Dimosthenis Karatzas, Zhenbo Luo, Umapada Pal, Christophe Rigaud, Joseph Chazalon, Wafa Khlif, Muhammad Muzzamil Luqman, Jean-Christophe Burie, Cheng-lin Liu and Jean-Marc Ogier, “ICDAR2017 Robust Reading Challenge on Multi-lingual Scene Text Detection and Script Identification – RRC-MLT”,Proc. 14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017, pp.1454-1459.
  • Nibal Nayef and Jean-Marc Ogier, “Semantic Text Detection in Born-digital Images via Fully Convolutional Networks”, Proc.14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017.[PDF]
  • Yi-Chao Wu, Fei Yin, Cheng-Lin Liu, “Improving Handwritten Chinese Text Recognition using Neural Network Language Models and Convolutional Neural Network Shape Models”, Pattern Recognition, 65: 251-264,2017.[PDF***]
  • Xue-Hang Yang, Wenhao He, Fei Yin, Cheng-Lin Liu, “A Unified Video Text Detection Method with Network Flow”,Proc.14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017, pp.332-337.[PDF***]
  • Cong Wang, Fei Yin, Cheng-Lin Liu, ‘Scene Text Detection with Novel Superpixel Based Character Candidate Extraction”, Proc. 14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017, pp.929-934. [PDF***]
  • Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, “Deep Direct Regression for Multi-Oriented Scene Text Detection”, International Conference on Computer Vision,ICCV 2017, Venice, Italy, Oct.22-29, 2017, pp.745-753.[PDF]
  • Guo-Shuai Liu, Fei Yin, Zhenbo Luo, Cheng-Lin Liu, “Fast Genre Classification of Web Images Using Global and Local Features”, Proc. 4th Asian Conference on Pattern Recognition (ACPR), Nanjing, China, November 26-29, 2017, pp.834-839.[PDF***]
  • Zhao Zhong, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, “Handwritten Chinese Character Blind Inpainting with Conditional Generative Adversarial Nets”, Proc. 4th Asian Conference on Pattern Recognition (ACPR), Nanjing, China, November 26-29, 2017, pp.804-809.[PDF***]

2018

  • Wafa Khlif, Nibal Nayef, Jean-Christophe Burie, Jean-Marc Ogier and Adel Alimi, Learning Text Component Features via Convolutional Neural Networks for Scene Text Detection,Submitted to the Int. Conf. on Document Analysis Systems (DAS) 2018.[PDF]