Welcome!

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 :
•
•
•
•
I am currently open to deep learning advisory (industrial) and internship (for PhD students) positions.
I am a PhD student at the University of Wollongong working with Prof. Lei Wang, Prof. Changming Sun, and Assoc. Prof. Luping Zhou. I am also part of the Commonwealth Scientific and Industrial Research Organisation (CSIRO)'s Data61 (previously known as NICTA)'s Quantitative Imaging team.
My current research focuses on the development of machine learning algorithms for visual recognition. I am specifically interested in enabling fine-grained recognition in large-scale image and video data with the use of higher-order visual features.
I received MRes in Computer Vision & Machine Learning from the Multimedia University (MMU), Cyberjaya in 2016. I was advised by Assoc. Prof. John See and Chiung Ching Ho in the Visual Processing Lab as a part of the Center for Visual Computing (CVC). Before joining PhD, I was the lead of machine learning sub-group at Advanced Robotic Vision, Vitrox Corporation. Prior to that, I was a lecturer in information technology at International Islamic Univerisity Chittagong and a senior software engineer of web systems at FS Systems.
Research Interests: Computer Vision, Machine Learning, Fine-grained Visual Recognition.
Recent News
Recent Research

Fine-grained Image Recognition
Fine-grained image classification targets at distinguishing fine-level image categories in images, such as bird species, airplane types, and animal breeds. In addition to the difficulties inheriting from generic image classification such as large intra-class variations and insufficient training data, finegrained classification is much more challenging due to subtle inter-class differences. Read more...

Industrial Machine Vision Inspection
At ViTrox, I lead the effort in machine learning in industrial Machine Vision Inspection. It was a effort in developing custom machine learning and computer vision solutions for complex machine vision inspections. My efforts help Vitrox's Advanced Robotic Vision solutions achieve near perfect results. Read more...

Human Activity Recognition in Low Quality Videos
Human action recognition (HAR) in video is presently one of fastest growing areas in computer vision research due to the ubiquity and abundance of video data. This research was aimed to investigate the visual recognition of human activities in low quality surveillance videos. Spatio-temporal texture features as tool was proposed in this research to improve the performance of shape and motion features extracted from low quality videos. Read more...
Recent Talks
[Presentation Slides] [Talk Page] [Slideshare link]
[Presentation Slides] [Talk Page] [Slideshare link]
[Presentation Slides] [Talk Page] [Slideshare link]
[Presentation Slides] [Talk Page] [Slideshare link]
[Presentation Slides] [Talk Page] [Slideshare link]
2017-2018: Cheong Leong Kean, BEng (Hons.), Universiti Sains Malaysia, Penang. Now with Vitrox, Malaysia
Important Downloads
Action Recogniton Toolbox
[JIVP] YouTube-LQ-CRFs
© 2018 Saimunur Rahmnan. CC-NC-SA-4.0. Built with Bootstrap v3.3.6. Style adopted from Animesh Garg.