138 citations · 453 across the 81 of their papers we have counts for
92 papers
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…
RAVQ-HoloNet: Rate-Adaptive Vector-Quantized Hologram Compression
Shima Rafiei, Zahra Nabizadeh Shahr-Babak, Soroush Khoubyarian +3
Holography offers significant potential for AR/VR applications. However, its adoption is limited by the high demand for data compression. Existing deep learning approaches generall…
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…
Optimal Transcoding Preset Selection for Live Video Streaming
Zahra Nabizadeh, Maedeh Jamali, Nader Karimi +2
In today's digital landscape, video content dominates internet traffic, underscoring the need for efficient video processing to support seamless live streaming experiences on platf…
A Parametric Rate-Distortion Model for Video Transcoding
Maedeh Jamali, Nader Karimi, Shadrokh Samavi +1
Over the past two decades, the surge in video streaming applications has been fueled by the increasing accessibility of the internet and the growing demand for network video. As us…
A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification
Mahdie Ahmadi, Nader Karimi, Shadrokh Samavi
Accurate and early detection of breast cancer is essential for successful treatment. This paper introduces a novel deep-learning approach for improved breast cancer classification…