14 citations · 17 across the 4 of their papers we have counts for
4 papers · 1 filter
SALVE: Self-supervised Adaptive Low-light Video Enhancement
Zohreh Azizi, C. -C. Jay Kuo
A self-supervised adaptive low-light video enhancement method, called SALVE, is proposed in this work. SALVE first enhances a few key frames of an input low-light video using a ret…
PAGER: Progressive Attribute-Guided Extendable Robust Image Generation
Zohreh Azizi, C. -C. Jay Kuo
This work presents a generative modeling approach based on successive subspace learning (SSL). Unlike most generative models in the literature, our method does not utilize neural n…
Successive Subspace Learning: An Overview
Mozhdeh Rouhsedaghat, Masoud Monajatipoor, Zohreh Azizi +1
Successive Subspace Learning (SSL) offers a light-weight unsupervised feature learning method based on inherent statistical properties of data units (e.g. image pixels and points i…
Noise-Aware Texture-Preserving Low-Light Enhancement
Zohreh Azizi, Xuejing Lei, C. -C Jay Kuo
A simple and effective low-light image enhancement method based on a noise-aware texture-preserving retinex model is proposed in this work. The new method, called NATLE, attempts t…