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16 papers
LE2Fusion: A novel local edge enhancement module for infrared and visible image fusion
Yongbiao Xiao, Hui Li, Chunyang Cheng +1
Infrared and visible image fusion task aims to generate a fused image which contains salient features and rich texture details from multi-source images. However, under complex illu…
SMUG: Towards robust MRI reconstruction by smoothed unrolling
Hui Li, Jinghan Jia, Shijun Liang +3
Although deep learning (DL) has gained much popularity for accelerated magnetic resonance imaging (MRI), recent studies have shown that DL-based MRI reconstruction models could be…
Image Super-Resolution using Efficient Striped Window Transformer
Jinpeng Shi, Hui Li, Tianle Liu +5
Transformers have achieved remarkable results in single-image super-resolution (SR). However, the challenge of balancing model performance and complexity has hindered their applica…
Fe-assisted epitaxial growth of 4-inch single-crystal transition-metal dichalcogenides on c-plane sapphire without miscut angle
Hui Li, Junbo Yang, Xiaohui Li +10
Epitaxial growth and controllable doping of wafer-scale single-crystal transition-metal dichalcogenides (TMDCs) are two central tasks for extending Moore's law beyond silicon. Howe…
FCNet: A Convolutional Neural Network for Arbitrary-Length Exposure Estimation
Jin Liang, Yuchen Yang, Anran Zhang +3
The photographs captured by digital cameras usually suffer from over or under exposure problems. For image exposure enhancement, the tasks of Single-Exposure Correction (SEC) and M…
RFN-Nest: An end-to-end residual fusion network for infrared and visible images
Hui Li, Xiao-Jun Wu, Josef Kittler
In the image fusion field, the design of deep learning-based fusion methods is far from routine. It is invariably fusion-task specific and requires a careful consideration. The mos…