Author: LipingY

DIRA workshop at CVPR 2020 will take place on June 14!

If you are attending CVPR2020, please consider attending the DIRA workshop that Dr. Liping Yang is primary organizing  — a full day workshop scheduled on June 14 (next Sunday)!

We have 7 fantastic keynotes given by top computer vision and machine learning researchers  from USA and UK (including MIT, Stanford, Georgia Tech, IBM, Facebook, U of Pittsburgh and U of Edinburgh). The detailed schedule can be found at HERE.

[Job opening] PhD and Master positions in GIScience and GeoAI

Dr. Liping Yang is offering two (1 Ph.D. and 1 Master) funded, full-time Graduate Assistantships in Geospatial Data Science and Geospatial Artificial Intelligence (GeoAI). Particular topics of interest include

    • Novel methods for analyzing structured and unstructured geospatial data (such as text and images),
    • Information and image retrieval for geographic and historical data,
    • Exploratory search user interfaces powered by computer vision
      and machine learning,
    • Artificial intelligence for geographic knowledge discovery,
    • Spatial representation and reasoning.

Enthusiastic candidates with interests related to these topics are highly encouraged to apply; working experience with at least one programming language (Python, Java, C/C++, JavaScript etc.) is a prerequisite for the positions, but the most important quality is a desire to do creative original research at the intersection of GIScience, computer science, and mathematics.

Students working with Dr. Liping Yang, will have great opportunities for summer interns and/or graduate assistantships at Los Alamos National Laboratory (LANL); after graduation (with proper qualification), can be recommended to work at LANL.

To apply and for more Ph.D. and M.S. positions in GIScience and geography available at the Department of
Geography and Environmental Studies at the University of New Mexico, please check out the PDF here.

Note that Application Deadlines for Fall Admissions:

MS:  February 1 (check here)

PhD:  January 15 (check here)

We look forward to reviewing your applications!

—

Liping Yang

Assistant Professor of Geographic Information Science 

Department of Geography and Environmental Studies

University of New Mexico

 

email: lipingyang@unm.edu

web: http://www.lipingyang.org/

research blog: http://deeplearning.lipingyang.org/

[Paper published] Novel representation and method for effective zigzag noise denoising

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.

 

 

 

Check out this page for Liping’s more publications.

 

[Job opening] Outstanding postdoc position for Computer vision and machine learning

I recently received an exciting research grant in computer vision and machine learning. We have an outstanding postdoctoral research associate position. Check the link below for how to apply. We are looking forward to your application.

See HERE on LinkedIn or HERE at LANL website (PDF here if it is not retrievable).

 

 

[Paper published] Check out our new paper for image classification with great results using only small sets of training data

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}
}

 

Check out this page for Liping’s more publications.

 

[Paper published] Check out our new computer vision and image analysis paper for skeleton extraction

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]

 

Check out this page for Liping’s more publications.

[Paper published] Check out our new (deep) machine learning paper for flood detection

New machine/deep learning paper led by Liping: Analysis of remote sensing imagery for disaster assessment using deep learning: a case study of flooding event . 

A full-text view-only version of the paper can be found via the link: https://rdcu.be/bpUvx.

 

Check out this page for Liping’s more publications.