1 citations · 1 across the 5 of their papers we have counts for
6 papers
MDIRNET: Multi-Degradation Image Restoration Network via Deep Unfolding
Talha Nadeem, Arslan Majal, Muhammad Tahir +1
Real images often exhibit unknown and mixed degradations, making restoration substantially more challenging than single-task image restoration because multiple distortion types int…
Variational Outlier-Robust Gaussian Process Regression with Generative Modeling
Arslan Majal, Aamir Hussain Chughtai
Outliers can substantially distort Gaussian process regression (GPR) due to its conventional Gaussian observation likelihood, leading to inaccurate model learning and prediction. T…
Dictionary-Based Contrastive Learning for GNSS Jamming Detection
Zawar Hussain, Arslan Majal, Aamir Hussain Chughtai +1
Global Navigation Satellite System (GNSS) signals are fundamental in applications across navigation, transportation, and industrial networks. However, their extremely low received…
EMORF-II: Adaptive EM-based Outlier-Robust Filtering with Correlated Measurement Noise
Arslan Majal, Aamir Hussain Chughtai, Muhammad Tahir
We present a learning-based outlier-robust filter for a general setup where the measurement noise can be correlated. Since it is an enhanced version of EM-based outlier robust filt…
Trajectory Reconstruction through a Gaussian Adaptive Selective Outlier Rejecting Smoother
Arslan Majal, Aamir Hussain Chughtai
Trajectory Reconstruction (TR) is vital for accurately mapping movement patterns and validating analyses, especially in fields like robotics, biomechanics, and environmental tracki…
Variational-Based Nonlinear Bayesian Filtering with Biased Observations
Aamir Hussain Chughtai, Arslan Majal, Muhammad Tahir +1
State estimation of dynamical systems is crucial for providing new decision-making and system automation information in different applications. However, the assumptions on the stan…