Saimunur Rahman | Personal Webpage

For an online listing please see: Google Scholar | Semantic Scholar

PhD Student
CSIRO Data61
UOW AMRL VILA
School of Computing & IT
University of Wollongong

Current Office:
Room No. 3.237, Building 3
UOW Wollongong Campus

Contact me:
¹ sr801uowmail.edu.au
² saimun.rahmandata61.csiro.com
(+61) 4 1374 0811

Find me on :
• • • •

Listing by: research areas | publication type

Thesis

Human Activity Recognition in Low Quality Videos Using Spatio-Temporal Features
M.Sc. (by Research) thesis
Multimedia University, Cyberjaya, June 2016

PDF BibTex Viva Slides

Preprints

Deep Learning based HEp-2 Image Classification: A Comprehensive Review
Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou
arXiv:1911.08916

PDF BibTex

Journal Papers

Deep Learning based HEp-2 Image Classification: A Comprehensive Review
Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou
Medical Image Analysis (2020):101764.

ArXiv Version BibTex Publisher Version

Downsampled video from KTH and bad and medium quality video of hmdb

Exploiting textures for better action recognition in low-quality videos
Saimunur Rahman, John See and Chiung Ching Ho
EURASIP Journal on Image and Video Processing, 2017(1), p.74.

PDF BibTex Open Access Link Dataset

Deep CNN Object Features for Improved Action Recognition in Low Quality Videos
Saimunur Rahman, John See and Chiung Ching Ho
Advanced Science Letters, 23(11), pp.11360-11364

PDF BibTex Presentation Slides

Conference Papers

ReDro: Efficiently Learning Large-sized SPD Visual Representation
Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou
European Conference on Computer Vision (ECCV), UK, 23-28 August 2020.

Paper BibTex Project Website

Defects and Components Recognition in Printed Circuit Boards Using Convolutional Neural Network
Leong Kean Cheong, Shahrel Azmin Suandi and Saimunur Rahman
International Conference on Robotics, Vision, Signal Processing & Power Applications (ROVISP), August 14-15, Penang, Malaysia, 2018

PDF BibTex

Spatio-Temporal Mid-Level Feature Bank for Action Recognition in Low Quality Video
Saimunur Rahman and John See
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), March 20-25, Shanghai, China, 2016

PDF BibTex Poster

Leveraging Textural Features for Recognizing Actions in Low Quality Videos
Saimunur Rahman, John See and Chiung Ching Ho
International Conference on Robotics, Vision, Signal Processing & Power Applications (ROVISP), February 2-3, Penang, Malaysia, 2016

PDF BibTex Presentation Slides

On the effects of Low Quality Videos in Human Action Recognition
John See and Saimunur Rahman
International Conference on Digital Image Computing: Techniques and Applications (DICTA), October 23-25, Adelaide, Australia, 2015

PDF BibTex Poster

Spatially and temporally downsampled videos from KTH and Weizmann Dataset

Action Recognition by Jointly using Shape, Motion and Texture Features in Low Quality Videos
Saimunur Rahman, John See and Chiung Ching Ho
IEEE International Conference on Signal and Image Processing Applications (ICSIPA), October 19-21, Kuala Lampur, Malaysia, 2015

PDF BibTex Presentation Slides

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.