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From the 1 of 9 linked papers with an AI index.

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20242026
most citedDiscrete Cosine Transform Based Decorrelated Attention for Vision Transformers

1 citations · 1 across the 4 of their papers we have counts for

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9 papers

cs.CV2026

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

Prathyush Sajith, Emadeldeen Hamdan, Ahmet Enis Cetin

The paper proposes replacing the global self‑attention stage in stereo transformer models with a data‑independent Walsh‑Hadamard token mixer, achieving similar depth accuracy while…

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.CV20261 cited

Discrete Cosine Transform Based Decorrelated Attention for Vision Transformers

Hongyi Pan, Emadeldeen Hamdan, Xin Zhu +2

Self-attention is central to the success of Transformer architectures; however, learning the query, key, and value projections from random initialization remains challenging and co…

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…