4 citations · 7 across the 10 of their papers we have counts for
12 papers
Trajectory-aware Shifted State Space Models for Online Video Super-Resolution
Qiang Zhu, Xiandong Meng, Yuxian Jiang +5
Online video super-resolution (VSR) is an important technique for many real-world video processing applications, which aims to restore the current high-resolution video frame based…
Compressed Video Super-Resolution based on Hierarchical Encoding
Yuxuan Jiang, Siyue Teng, Qiang Zhu +6
This paper presents a general-purpose video super-resolution (VSR) method, dubbed VSR-HE, specifically designed to enhance the perceptual quality of compressed content. Targeting s…
Blind Video Super-Resolution based on Implicit Kernels
Qiang Zhu, Yuxuan Jiang, Shuyuan Zhu +3
Blind video super-resolution (BVSR) is a low-level vision task which aims to generate high-resolution videos from low-resolution counterparts in unknown degradation scenarios. Exis…
FCVSR: A Frequency-aware Method for Compressed Video Super-Resolution
Qiang Zhu, Fan Zhang, Feiyu Chen +3
Compressed video super-resolution (SR) aims to generate high-resolution (HR) videos from the corresponding low-resolution (LR) compressed videos. Recently, some compressed video SR…
Texture-guided Coding for Deep Features
Lei Xiong, Xin Luo, Zihao Wang +3
With the rapid development of machine vision technology in recent years, many researchers have begun to focus on feature compression that is better suited for machine vision tasks.…
Multiple Latent Space Mapping for Compressed Dark Image Enhancement
Yi Zeng, Zhengning Wang, Yuxuan Liu +6
Dark image enhancement aims at converting dark images to normal-light images. Existing dark image enhancement methods take uncompressed dark images as inputs and achieve great perf…