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Found 6 papers, 0 papers with code
LSR: A Light-Weight Super-Resolution Method
A light-weight super-resolution (LSR) method from a single image targeting mobile applications is proposed in this work.
GENHOP: An Image Generation Method Based on Successive Subspace Learning
In the first module, it builds a sequence of high-to-low dimensional subspaces through a sequence of whitening processes, each of which contains samples of joint-spatial-spectral representation.
TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation
Finally, texture patches are stitched to form texture images of a large size.
NITES: A Non-Parametric Interpretable Texture Synthesis Method
A non-parametric interpretable texture synthesis method, called the NITES method, is proposed in this work.
Noise-Aware Texture-Preserving Low-Light Enhancement
A simple and effective low-light image enhancement method based on a noise-aware texture-preserving retinex model is proposed in this work.
Unsupervised Video Object Segmentation with Motion-based Bilateral Networks
First, we propose a motion-based bilateral network to estimate the background based on the motion pattern of non-object regions.
Ranked #3 on
Video Salient Object Detection
on MCL
(using extra training data)
