6 papers
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…
SLER-IR: Spherical Layer-wise Expert Routing for All-in-One Image Restoration
Peng Shurui, Xin Lin, Shi Luo +5
Image restoration under diverse degradations remains challenging for unified all-in-one frameworks due to feature interference and insufficient expert specialization. We propose SL…
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…
DWTGS: Rethinking Frequency Regularization for Sparse-view 3D Gaussian Splatting
Hung Nguyen, Runfa Li, An Le +1
Sparse-view 3D Gaussian Splatting (3DGS) presents significant challenges in reconstructing high-quality novel views, as it often overfits to the widely-varying high-frequency (HF)…
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…
AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement
Shiwei Jin, Zhen Wang, Lei Wang +3
Facial action unit (AU) intensity plays a pivotal role in quantifying fine-grained expression behaviors, which is an effective condition for facial expression manipulation. However…