938 citations · 1.1k across the 4 of their papers we have counts for
4 papers
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
Weixia Zhang, Kede Ma, Jia Yan +2
We propose a deep bilinear model for blind image quality assessment (BIQA) that handles both synthetic and authentic distortions. Our model consists of two convolutional neural net…
No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement
Jia Yan, Jie Li, Xin Fu
No-reference image quality assessment (NR-IQA) aims to measure the image quality without reference image. However, contrast distortion has been overlooked in the current research o…
Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models
Xin Fu, Jia Yan, Cien Fan
Deep convolutional neural networks have recently achieved great success on image aesthetics assessment task. In this paper, we propose an efficient method which takes the global, l…
Cell-less Communications in 5G Vehicular Networks Based on Vehicle-Installed Access Points
Lijun Wang, Tao Han, Qiang Li +3
The development of intelligent transportation systems raises many requirements to the current vehicular networks. For instance, to ensure secure communications between vehicles, lo…