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Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background
Crowd counting is an important task that shown great application value i...
01/05/2021 ∙ by Qiaosi Yi, et al. ∙
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MDCN: Multi-scale Dense Cross Network for Image Super-Resolution
Convolutional neural networks have been proven to be of great benefit fo...
08/30/2020 ∙ by Juncheng Li, et al. ∙
5
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Disentangle Perceptual Learning through Online Contrastive Learning
Pursuing realistic results according to human visual perception is the c...
06/24/2020 ∙ by Kangfu Mei, et al. ∙
17
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HighEr-Resolution Network for Image Demosaicing and Enhancing
Neural-networks based image restoration methods tend to use low-resoluti...
11/19/2019 ∙ by Kangfu Mei, et al. ∙
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Progressive Feature Fusion Network for Realistic Image Dehazing
Single image dehazing is a challenging ill-posed restoration problem. Va...
10/04/2018 ∙ by Kangfu Mei, et al. ∙
8
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An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks
Recent works on single-image super-resolution are concentrated on improv...
10/03/2018 ∙ by Kangfu Mei, et al. ∙
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Kangfu Mei
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Jiangxi Normal University
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The Chinese University of Hong Kong, Shenzhen
