332 citations · 1.5k across the 59 of their papers we have counts for
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Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation
Linshan Wu, Zhun Zhong, Jiayi Ma +4
Weakly-Supervised Semantic Segmentation (WSSS) aims to train segmentation models by weak labels, which is receiving significant attention due to its low annotation cost. Existing a…
Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution
Qing Ma, Junjun Jiang, Xianming Liu +1
To solve the ill-posed problem of hyperspectral image super-resolution (HSISR), an usually method is to use the prior information of the hyperspectral images (HSIs) as a regulariza…
BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring
Pengwei Liang, Junjun Jiang, Xianming Liu +1
The defocus deblurring raised from the finite aperture size and exposure time is an essential problem in the computational photography. It is very challenging because the blur kern…
Omniscient Video Super-Resolution
Peng Yi, Zhongyuan Wang, Kui Jiang +4
Most recent video super-resolution (SR) methods either adopt an iterative manner to deal with low-resolution (LR) frames from a temporally sliding window, or leverage the previousl…
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery
Junjun Jiang, He Sun, Xianming Liu +1
Recently, single gray/RGB image super-resolution reconstruction task has been extensively studied and made significant progress by leveraging the advanced machine learning techniqu…