3 papers
cs.CV2026
Layerwise Tunable Lifting Scheme for the Convolutional Neural Network
Abdumannon Yovkochov, An Le, Sungbal Seo +2
This work introduces a family of tunable lifting schemes for biorthogonal wavelet filter banks. We propose three lifting strategies: low-pass tuning (LS-LayLatt-LP), high-pass tuni…
cs.CV2025
Stop-band Energy Constraint for Orthogonal Tunable Wavelet Units in Convolutional Neural Networks for Computer Vision problems
An D. Le, Hung Nguyen, Sungbal Seo +2
This work introduces a stop-band energy constraint for filters in orthogonal tunable wavelet units with a lattice structure, aimed at improving image classification and anomaly det…
cs.CV2025
Biorthogonal Tunable Wavelet Unit with Lifting Scheme in Convolutional Neural Network
An Le, Hung Nguyen, Sungbal Seo +2
This work introduces a novel biorthogonal tunable wavelet unit constructed using a lifting scheme that relaxes both the orthogonality and equal filter length constraints, providing…