5 papers
MirrorDistill: Illumination-Aware Latent Distillation for Efficient Low-Light Restoration
Farida Mohsen, Tala Zaim, Nurul Izni Rusli +3
Low-light image enhancement (LLIE) is an im- portant component of visual sensing systems operating under degraded illumination, including nighttime surveillance, au- tonomous navig…
Focus on What Matters: Two-Stage ROI-Aware Refinement for Anatomy-Preserving Fetal Ultrasound Reconstruction
Ines Abbes, Mahmood Alzubaidi, Mowafa Househ +3
Measurement-critical ultrasound tasks often depend on a small anatomical region, making global reconstruction metrics an unreliable proxy for clinical fidelity. We propose an ROI-a…
IAML: Illumination-Aware Mirror Loss for Progressive Learning in Low-Light Image Enhancement Auto-encoders
Farida Mohsen, Tala Zaim, Ali Al-Zawqari +2
This letter presents a novel training approach and loss function for learning low-light image enhancement auto-encoders. Our approach revolves around the use of a teacher-student a…
Oversampling and Downsampling with Core-Boundary Awareness: A Data Quality-Driven Approach
Samir Brahim Belhaouari, Yunis Carreon Kahalan, Humaira Shaffique +2
The effectiveness of machine learning models, particularly in unbalanced classification tasks, is often hindered by the failure to differentiate between critical instances near the…
Integrating Non-Linear Radon Transformation for Diabetic Retinopathy Grading
Farida Mohsen, Samir Belhaouari, Zubair Shah
Diabetic retinopathy is a serious ocular complication that poses a significant threat to patients' vision and overall health. Early detection and accurate grading are essential to…