Deep blind image quality assessment based on multiple instance regression

Sparse multiple instance learning with non-convex penalty

(2020) Yuqi Zhang et al.   NEUROCOMPUTING

No-Reference Quality Evaluation of Stereoscopic Video Based on Spatio-Temporal Texture

(2019) Jiachen Yang et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

(2018) Sebastian Bosse et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

End-to-End Blind Image Quality Assessment Using Deep Neural Networks

(2018) Kede Ma et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Multiple instance learning: A survey of problem characteristics and applications

(2018) Marc-André Carbonneau et al.   PATTERN RECOGNITION

Deep CNN-Based Blind Image Quality Predictor

(2018) Jongyoo Kim et al.   IEEE Transactions on Neural Networks and Learning Systems

A Blind Stereoscopic Image Quality Evaluator With Segmented Stacked Autoencoders Considering the Whole Visual Perception Route

(2018) Jiachen Yang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Fully Deep Blind Image Quality Predictor

(2017) Jongyoo Kim et al.   IEEE Journal of Selected Topics in Signal Processing

Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment

(2017) Jongyoo Kim et al.   IEEE SIGNAL PROCESSING MAGAZINE

Massive Online Crowdsourced Study of Subjective and Objective Picture Quality

(2016) Deepti Ghadiyaram et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A Feature-Enriched Completely Blind Image Quality Evaluator

(2015) Lin Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

No-reference image quality assessment with shearlet transform and deep neural networks

(2015) Yuming Li et al.   NEUROCOMPUTING

Blind Image Quality Assessment via Deep Learning

(2015) Weilong Hou et al.   IEEE Transactions on Neural Networks and Learning Systems

Universal Blind Image Quality Assessment Metrics Via Natural Scene Statistics and Multiple Kernel Learning

(2013) Xinbo Gao et al.   IEEE Transactions on Neural Networks and Learning Systems

No-Reference Image Quality Assessment in the Spatial Domain

(2012) A. Mittal et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain

(2012) M. A. Saad et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Multiple-instance learning as a classifier combining problem

(2012) Yan Li et al.   PATTERN RECOGNITION

Mixture Model for Multiple Instance Regression and Applications in Remote Sensing

(2011) Zhuang Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality

(2011) A. K. Moorthy et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

ReliefF-MI: An extension of ReliefF to multiple instance learning

(2011) Amelia Zafra et al.   NEUROCOMPUTING

Image quality assessment by discrete orthogonal moments

(2010) Chong-Yaw Wee et al.   PATTERN RECOGNITION

Image Quality Assessment Based on Multiscale Geometric Analysis

(2009) Xinbo Gao et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

No-reference image quality assessment in contourlet domain

(2009) Wen Lu et al.   NEUROCOMPUTING