3 papers
cs.LG2026
Learned Queries and Keys Are All You Need: Replacing the Value Projection with Structured Transforms
Ene Meco, Emadeldeen Hamdan, A. Enis Cetin
To reduce the number of parameters and cache memory requirements of transformers we introduce dual-headed transformers instead of three heads. We studied Walsh-Hadamard Transform (…
eess.IV2026
Image Reconstruction from Phase with Untrained Neural Priors
Ene Meco, Ahmet Enis Cetin
Fourier phase encodes important spatial image structure, but recovering an image without measured spectral magnitude requires additional constraints and leaves absolute intensity a…
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…