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20232026
most citedMultichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets

7 citations · 8 across the 11 of their papers we have counts for

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6 papers · 2 filters

cs.CV2026

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing

Prathyush Sajith, Emadeldeen Hamdan, Ahmet Enis Cetin

Stereo depth estimation for driving, robotics and augmented reality must run at high resolution under tight latency budgets, yet in transformer-based matchers the global self-atten…

cs.CV2026

ShearFuse-UNet: Hadamard, DCT, and Shearlet Transform Fusion for Next-Day Wildfire Spread Prediction

Ene Meco, Yingyi Luo, Emadeldeen Hamdan +2

We propose ShearFuse-UNet, a lightweight and computationally efficient deep learning model for next-day wildfire spread prediction from multi-modal satellite data. The model integr…

cs.CV2026

A Large Scale Open-Source Image and Video Dataset for Robust Wildfire Detection and Classification

Emadeldeen Hamdan, Yingyi Luo, B. Ugur Toreyin +4

Wildfire detection and monitoring are critical for mitigating fire spread and reducing environmental and infrastructural damage. In this work, we introduce GWFP (Global Wildfire Pr…

cs.CV2026

Hybrid Multi-Dimensional MRI Prostate Cancer Detection via Hadamard Network-Based Bias Correction and Residual Networks

Emadeldeen Hamdan, Gorkem Durak, Muhammed Enes Tasci +7

Magnetic Resonance Imaging (MRI) is vital for prostate cancer (PCa) diagnosis. While advanced techniques such as Hybrid Multi-dimensional MRI (HM-MRI) have enhanced diagnostic capa…

cs.CV2026

Progressive Deep Learning for Automated Spheno-Occipital Synchondrosis Maturation Assessment

Omid Halimi Milani, Amanda Nikho, Marouane Tliba +4

Accurate assessment of spheno-occipital synchondrosis (SOS) maturation is a key indicator of craniofacial growth and a critical determinant for orthodontic and surgical timing. How…

cs.CV2026

Toward Generalizable Deep Learning Based Peatland Fire Detection via Walsh Hadamard Transform and Domain Adaptation

Emadeldeen Hamdan, Ahmad Faiz Tharima, Mohd Zahirasri Mohd Tohir +4

Machine learning-based wildfire detection has advanced significantly using deep learning models trained on large wildfire image and video datasets. However, peatland fires exhibit…