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Chapter and Conference Paper
Stereoscopic Image Quality Assessment Based on Binocular Adding and Subtracting
There has been a great concern on blind image quality assessment in the field of 2D images, however, stereoscopic image quality assessment (SIQA) is still a challenging task. In this paper, we propose an effic...
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Article
RETRACTED ARTICLE: Quality assessment for virtual reality technology based on real scene
Virtual reality technology is a new display technology, which provides users with real viewing experience. As known, most of the virtual reality display through stereoscopic images. However, image quality will...
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Chapter and Conference Paper
Gated Fusion of Discriminant Features for Caricature Recognition
Caricature recognition is a challenging problem, because there are typically geometric deformations between photographs and caricatures. It is nontrivial to learn discriminant large-margin features. To combat ...
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Article
Deep learning-based edge caching for multi-cluster heterogeneous networks
In this work, we consider a time and space evolution cache refreshing in multi-cluster heterogeneous networks. We consider a two-step content placement probability optimization. At the initial complete cache r...
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Article
Attention-based deep convolutional neural network for spectral efficiency optimization in MIMO systems
Spectral efficiency (SE) optimization in massive multiple input multiple output (MIMO) antenna cognitive systems is a challenge originated from the coexistence restrictions. Traditional power allocation can op...
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Article
Retraction Note: Quality assessment for virtual reality technology based on real scene