Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: End-to-End Blind Image Quality Assessment Using Deep Neural Networks
Convolutional Neural Networks for No-Reference Image Quality Assessment
automatic prediction of perceptual image and video quality .
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data
Sparse feature fidelity for image quality assessment
Document Image Quality Assessment: A Brief Survey
Universal Denoising Networks : A Novel CNN-based Network Architecture for Image Denoising
Why is image quality assessment so difficult?
Information Content Weighting for Perceptual Image Quality Assessment
Image Quality Assessment: From Error Measurement to Structural Similarity
2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges
No-Reference Image Quality Assessment in the Spatial Domain
Sparse Feature Fidelity for Perceptual Image Quality Assessment
Image Quality Assessment Techniques
Image quality assessment: from error visibility to structural similarity
A DCT Statistics-Based Blind Image Quality Index
Photograph aesthetical evaluation and classification with deep convolutional neural networks
Learning a Discriminative Prior for Blind Image Deblurring
Supporting visual quality assessment with machine learning
Image Deblurring Using Convolutional Neural Network
Fast depth image denoising and enhancement using a deep convolutional network
Pediatric bone sarcoma: diagnostic performance of ¹⁸F-FDG PET/CT versus conventional imaging for initial staging and follow-up.
Multiple Query Optimization
Mercury in San Francisco Bay forage fish.
Rectified Linear Units Improve Restricted Boltzmann Machines
Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint