178 citations · 246 across the 4 of their papers we have counts for
4 papers
Large Kernel Distillation Network for Efficient Single Image Super-Resolution
Chengxing Xie, Xiaoming Zhang, Linze Li +4
Efficient and lightweight single-image super-resolution (SISR) has achieved remarkable performance in recent years. One effective approach is the use of large kernel designs, which…
FCN: Fully Channel-Concatenated Network for Single Image Super-Resolution
Xiaole Zhao, Ying Liao, Tian He +3
Most current image super-resolution (SR) methods based on convolutional neural networks (CNNs) use residual learning in network structural design, which favors to effective back pr…
Single MR Image Super-Resolution via Channel Splitting and Serial Fusion Network
Zhao Xiaole, Huali Zhang, Hangfei Liu +3
Spatial resolution is a critical imaging parameter in magnetic resonance imaging (MRI). Acquiring high resolution MRI data usually takes long scanning time and would subject to mot…
Channel Splitting Network for Single MR Image Super-Resolution
Xiaole Zhao, Yulun Zhang, Tao Zhang +1
High resolution magnetic resonance (MR) imaging is desirable in many clinical applications due to its contribution to more accurate subsequent analyses and early clinical diagnoses…