3 papers
cs.CV2026
Meta-Learning for Classifier Selection in Image Datasets: A Feature-Driven Framework for Accuracy Prediction
Zahra Nabizadeh_Shahre_Babak, Farzaneh Koohestani, Nader Karimi +2
No Free Lunch theorem implies that any performance gains achieved by a classifier on a particular image distribution are necessarily offset by a loss of performance over the set of…
eess.IV2024
BrightVAE: Luminosity Enhancement in Underexposed Endoscopic Images
Farzaneh Koohestani, Zahra Nabizadeh, Nader Karimi +2
The enhancement of image luminosity is especially critical in endoscopic images. Underexposed endoscopic images often suffer from reduced contrast and uneven brightness, significan…
cs.CV2023
Revealing Shadows: Low-Light Image Enhancement Using Self-Calibrated Illumination
Farzaneh Koohestani, Nader Karimi, Shadrokh Samavi
In digital imaging, enhancing visual content in poorly lit environments is a significant challenge, as images often suffer from inadequate brightness, hidden details, and an overal…