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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 1
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portfolio
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publications
Adaptive image steganography based on transform domain via genetic algorithm
Published in Optik, 2017
Aref Miri Rekavandi and Karim Faez
Medical image denoising based on 2D discrete cosine transform via ant colony optimization
Published in Optik, 2018
Aref Miri Rekavandi, Saeed Sharifian, Shima Rashidi, and Madjid Ghods
An image steganography method based on integer wavelet transform
Published in Multimedia Tools and Applications, 2018
Aref Miri Rekavandi and Karim Faez
Adaptive subspace detector in high dimensional space with insufficient training data
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Aref Miri Rekavandi, Abd-Krim Seghouane, and Robin Evans
Adaptive matched filter using non-target free training data
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Aref Miri Rekavandi, Abd-Krim Seghouane, and Robin Evans
Robust likelihood ratio test using α− divergence
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Aref Miri Rekavandi, Abd-Krim Seghouane, and Robin Evans
Robust Principal Component Analysis Using α− divergence
Published in IEEE International Conference on Image Processing (ICIP), 2020
Aref Miri Rekavandi and Abd-Krim Seghouane
Robust Subspace Detectors Based on α-Divergence With Application to Detection in Imaging
Published in IEEE Transactions on Image Processing, 2021
Aref Miri Rekavandi, Abd-Krim Seghouane, and Robin Evans
Adaptive Brain Activity Detection in Structured Interference and Partially Homogeneous Locally Correlated Disturbance
Published in IEEE Transactions on Biomedical Engineering, 2022
Aref Miri Rekavandi, Abd-Krim Seghouane, and Robin Evans
Cross Domain 2D-3D Descriptor Matching for Unconstrained 6- DOF Pose Estimation
Published in Pattern Reconition, 2023
Uzair Nadeem, Mohammed Bennamoun, Roberto Togneri, Ferdous Sohel, Aref Miri Rekavandi, Farid Boussaid
Extended Expectation Maximization for Under-fitted Models
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Aref Miri Rekavandi, Abd-Krim Seghouane, Farid Boussaid, and Mohammed Bennamoun
Robust Subspace Tracking With Contamination Mitigation via α-Divergence
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Le Trung Thanh, Aref Miri Rekavandi, Abd-Krim Seghouane, Karim Abed-Meraim
Rbdl: Robust Block-Structured Dictionary Learning for Block Sparse Representation
Published in Pattern Reconition Letters, 2023
Abd-Krim Seghouane, Asif Iqbal, and Aref Miri Rekavandi
TRPAST: A tunable and robust projection approximation subspace tracking method
Published in IEEE Transactions on Signal Processing, 2023
Aref Miri Rekavandi, Abd-Krim Seghouane, and Karim Abed-Meraim
B-Pose: Bayesian Deep Network for Camera 6-DoF Pose Estimation from RGB Images
Published in IEEE Robotics and Automation Letters, 2023
Aref Miri Rekavandi, Farid Boussaid, Abd-Krim Seghouane, and Mohammed Bennamoun
Analysis and evaluation of explainable artificial intelligence on suicide risk assessment
Published in Scientific Reports, 2024
Hao Tang, Aref Miri Rekavandi, Dharjinder Rooprai, Girish Dwivedi, Frank M. Sanfilippo, Farid Boussaid and Mohammed Bennamoun
Learning Robust and Sparse Principal Components with the α-Divergence
Published in IEEE Transactions on Image Processing, 2024
Aref Miri Rekavandi, Abd-Krim Seghouane and Robin J. Evans
talks
Robust Estimation
Published:
In this talk, I discussed the challenges of maximum likelihood-based estimators in facing contaminations and outliers. Several metrics were introduced for performance evaluation of a robust estimation method and finally, the well-known robust estimators such as the Huber estimator, Hample estimator, etc. were analyzed with respect to these metrics.
Robust Adaptive Matched Filter
Published:
In this talk, we present an extension of classical adaptive mathched filter for the cases where the secondary set of data is not target-free and the covariance should be estimated differently to not include target signals. (video)
Robust Likelihood Ratio Test
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In this talk, we present an extension of generalized likelihood ratio test for the cases where observes signal is contaimaned with heavy impulsive noise. (video)
Small Object Detection using Deep Learning
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As organizers of this workshop, we discussed challenges in detection and localization of small objects in images and videos. In addition to that, A/Prof. Wanli Ouyang from The University of Sydney and Dr. Emre Akbas from Middle East Technical University (METU) presented their recent research in the field of object detection, with emphasis on small objects. (Link)
Certified Robustness in Machine Learning
Published:
During the talk, I explained the main idea in certification of machine learning models (either classiffiers or regression models) against adversarial attacks on their inputs, using only a black box access to the model. I showed some synthetic and real world examples of the main theoritical results in the context of autonamous visual positioning systems.
teaching
Electronic Curcuits Tutor
Undergraduate course, KN Toosi University of Technology, ECE Department, 2011
Signal Processing Demons.
Graduate course, The University of Melbourne, EEE Department, 2018
Machine Learning Tutor
Undergraduate course, The University of Melbourne, CIS School, 2021