Publications

This page provides Liping’s (recent) selected publications.

(For a full list of publications, check Liping’s Google Scholar Profile.)

  • A few more papers led by and/or advised by Liping are on the way.
  • Annoyed by  persistent zigzag noises that cannot be removed after trying many existing denoising methods and techniques?

Check out our newly published ICCV 2019 SGRL paper (SGRL page on CVF) [A PDF of the paper can be found at the CVF website  or HERE] for a novel image representation and method, along with algorithms built upon the representation, for effective denoising of such types of zigzag noises introduced by the digitizing process such as scanning. This type of noise is very common in scanned documents, as well as in some images such as roads with worn road markings.

 

 

 

 

  • Do you have great idea(s) using machine learning but stopped by the fact that you do not have enough training (image) data? ?  Check out our newly accepted KDD workshop paper for a novel solution.

New KDD 2019 MLG (the 15th International Workshop on Mining and Learning with Graphs) Workshop  paper for computer vision and image analysis led by Liping has been accepted:

Image classification using topological features automatically extracted from graph representation of images. 

A PDF of the paper can be found at the Workshop website or HERE.

BibTeX Entry:

@inproceedings{mlg2019_7, title={Image classification using topological features automatically extracted from graph representation of images}, author={Yang, Liping and Oyen, Diane and Wohlberg, Brendt}, booktitle={Proceedings of the 15th International Workshop on Mining and Learning with Graphs (MLG)}, year={2019} }

 

  • New CVPR 2019 Workshop paper for computer vision and image analysis led by Liping has been published: A Novel Algorithm for Skeleton Extraction From Images Using Topological Graph Analysis.A PDF of the paper can be found HERE. (Check HERE if it is not retrievable on the http://openaccess.thecvf.com) [Acceptance rate < 10/32 = 31.25%]

    4. Yang, L. and Worboys, M. Generation of navigation graphs for indoor space. International Journal of Geographical Information Science, 29(10): 1737-1756, 2015. [Click here (PDF) to download a draft of this paper]

 

Through the synthesis of multiple rapidly developing research areas, this systematic review is relevant to multiple research domains, including but not limited to GIScience, computer science, data science, information science, visual analytics, information visualization, image analysis, and computational linguistics, as well as any domains that need to leverage machine learning and deep learning .