15 citations · 18 across the 3 of their papers we have counts for
3 papers
eess.IV2024★ 3 cited
Cuboid-Net: A Multi-Branch Convolutional Neural Network for Joint Space-Time Video Super Resolution
Congrui Fu, Hui Yuan, Hongji Xu +2
The demand for high-resolution videos has been consistently rising across various domains, propelled by continuous advancements in science, technology, and societal. Nonetheless, c…
eess.IV2024★ 15 cited
OMR-NET: a two-stage octave multi-scale residual network for screen content image compression
Shiqi Jiang, Ting Ren, Congrui Fu +2
Screen content (SC) differs from natural scene (NS) with unique characteristics such as noise-free, repetitive patterns, and high contrast. Aiming at addressing the inadequacies of…
eess.IV2024
Global Spatial-Temporal Information-based Residual ConvLSTM for Video Space-Time Super-Resolution
Congrui Fu, Hui Yuan, Shiqi Jiang +3
By converting low-frame-rate, low-resolution videos into high-frame-rate, high-resolution ones, space-time video super-resolution techniques can enhance visual experiences and faci…