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Saimunur Rahman
Observed names:
Rahman, Saimunur,
Saimunur Rahman (20166903)
Institution:
Commonwealth Scientific and Industrial Research Organisation
Observed institutions:
Commonwealth Scientific and Industrial Research Organisation,
Multimedia University,
University of Wollongong,
University of Cyberjaya,
Data61
ORCID:
0000-0002-5250-5612
Observed ORCID:
0000-0002-5250-5612
OpenAlex ID:
A5090139049
CataractNet: An Automated Cataract Detection System Using Deep Learning for Fundus Images
2021
·
Masum Shah Junayed
, Md Baharul Islam
, et al.
·
IEEE Access
·
164
PDF
Deep learning based HEp-2 image classification: A comprehensive review
2020
·
Saimunur Rahman
, Lei Wang
, et al.
·
Medical Image Analysis
·
47
PDF
Defects and Components Recognition in Printed Circuit Boards Using Convolutional Neural Network
2019
·
Leong Kean Cheong
, Shahrel Azmin Suandi
, et al.
·
Lecture notes in electrical engineering
·
29
Learning Partial Correlation based Deep Visual Representation for Image Classification
2023
·
Saimunur Rahman
, Piotr Koniusz
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
16
PDF
Action recognition in low quality videos by jointly using shape, motion and texture features
2015
·
Saimunur Rahman
, John See
, et al.
·
IEEE International Conference on Signal and Image Processing Applications (ICSIPA)
·
13
ReDro: Efficiently Learning Large-Sized SPD Visual Representation
2020
·
Saimunur Rahman
, Lei Wang
, et al.
·
Lecture notes in computer science
·
11
Deep CNN Object Features for Improved Action Recognition in Low Quality Videos
2017
·
Saimunur Rahman
, John See
, et al.
·
Advanced Science Letters
·
9
On the Effects of Low Video Quality in Human Action Recognition
2015
·
John See
, Saimunur Rahman
·
International Conference on Digital Image Computing: Techniques and Applications (DICTA)
·
9
On the Effectiveness of Deep Transfer Learning for Bangladeshi Meat Based Curry Image Classification
2022
·
Minhajur Rahman
, Saimunur Rahman
, et al.
·
International Conference on Innovations in Science, Engineering and Technology (ICISET)
·
8
Fine-Tuned Convolutional Neural Networks for Bangladeshi Vehicle Classification
2022
·
Minhajur Rahman
, Saimunur Rahman
, et al.
·
International Conference on Innovations in Science, Engineering and Technology (ICISET)
·
8
Exploiting textures for better action recognition in low-quality videos
2017
·
Saimunur Rahman
, John See
, et al.
·
EURASIP Journal on Image and Video Processing
·
8
PDF
Spatio-temporal mid-level feature bank for action recognition in low quality video
2016
·
Saimunur Rahman
, John See
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
7
Point-PNG: Conditional Pseudo-Negatives Generation for Point Cloud Pre-Training
2025
·
Sutharsan Mahendren
, Saimunur Rahman
, et al.
·
IEEE Access
·
1
Leveraging Textural Features for Recognizing Actions in Low Quality Videos
2016
·
Saimunur Rahman
, John See
, et al.
·
Lecture notes in electrical engineering
·
1
Automotive mmWave Spinning Radar Place Recognition with Spatially Gated Feature-Correlation Representation
2026
·
Rahman, Saimunur
, Shrestha, Sagun Singh
, et al.
·
arXiv (Cornell University)
PDF
Geometry-Conditioned Visual Place Recognition in Natural Environments
2026
·
Nedov, Walter
, Rahman, Saimunur
, et al.
·
arXiv (Cornell University)
PDF
GemNav: Discrete-Token Visual Robot Navigation using a Multimodal Large Language Model
2026
·
Bohm, Peter
, Rahman, Saimunur
, et al.
·
arXiv (Cornell University)
PDF
Spatially Stratified Distillation for Heterogeneous Radar Place Recognition
2026
·
Shrestha, Sagun Singh
, Harding, Samuel
, et al.
·
arXiv (Cornell University)
PDF
Visual Place Recognition in Forests with Depth-Aware Distillation
2026
·
Nedov, Walter
, Rahman, Saimunur
, et al.
·
arXiv (Cornell University)
PDF
A Deeper Look into Second-Order Feature Aggregation for LiDAR Place Recognition
2024
·
Rahman, Saimunur
, Moghadam, Peyman
·
arXiv (Cornell University)
PDF
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Works count:
22
Citation count:
331
H-index:
8
I10-index:
6
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