Qiuping Jiang

According to our database1, Qiuping Jiang authored at least 32 papers between 2014 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 



On csauthors.net:


Unified No-Reference Quality Assessment of Singly and Multiply Distorted Stereoscopic Images.
IEEE Trans. Image Processing, 2019

BLIQUE-TMI: Blind Quality Evaluator for Tone-Mapped Images Based on Local and Global Feature Analyses.
IEEE Trans. Circuits Syst. Video Techn., 2019

Data-Driven Rate Control for Rate-Distortion Optimization in HEVC Based on Simplified Effective Initial QP Learning.
TBC, 2019

Deep Road Scene Understanding.
IEEE Signal Process. Lett., 2019

Learning content-specific codebooks for blind quality assessment of screen content images.
Signal Processing, 2019

Quality Assessment of 3D Synthesized Images via Measuring Local Feature Similarity and Global Sharpness.
IEEE Access, 2019

User Controllable Content Retargeting and Depth Adaptation for Stereoscopic Display.
IEEE Access, 2019

Seam Manipulator: Leveraging Pixel Fusion for Depth-Adjustable Stereoscopic Image Retargeting.
IEEE Access, 2019

Multistage Pooling for Blind Quality Prediction of Asymmetric Multiply-Distorted Stereoscopic Images.
IEEE Trans. Multimedia, 2018

Optimizing Multistage Discriminative Dictionaries for Blind Image Quality Assessment.
IEEE Trans. Multimedia, 2018

Learning Sparse Representation for Objective Image Retargeting Quality Assessment.
IEEE Trans. Cybernetics, 2018

Toward Domain Transfer for No-Reference Quality Prediction of Asymmetrically Distorted Stereoscopic Images.
IEEE Trans. Circuits Syst. Video Techn., 2018

Blind stereoscopic 3D image quality assessment via analysis of naturalness, structure, and binocular asymmetry.
Signal Processing, 2018

Learning a referenceless stereopair quality engine with deep nonnegativity constrained sparse autoencoder.
Pattern Recognition, 2018

Local and global sparse representation for no-reference quality assessment of stereoscopic images.
Inf. Sci., 2018

Combining Global and Local Feature Analyses for Quality Evaluation of Tone-Mapped HDR Images.
IEEE Access, 2018

Automated Quality Assessment of Fundus Images via Analysis of Illumination, Naturalness and Structure.
IEEE Access, 2018

Efficient CU and PU Decision Based on Neural Network and Gray Level Co-Occurrence Matrix for Intra Prediction of Screen Content Coding.
IEEE Access, 2018

Quality Assessment of Retargeted Images Using Hand-Crafted and Deep-Learned Features.
IEEE Access, 2018

QoE-Guided Warping for Stereoscopic Image Retargeting.
IEEE Trans. Image Processing, 2017

Leveraging visual attention and neural activity for stereoscopic 3D visual comfort assessment.
Multimedia Tools Appl., 2017

Visual comfort assessment for stereoscopic images based on sparse coding with multi-scale dictionaries.
Neurocomputing, 2017

MSFE: Blind image quality assessment based on multi-stage feature encoding.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

On Predicting Visual Comfort of Stereoscopic Images: A Learning to Rank Based Approach.
IEEE Signal Process. Lett., 2016

A depth perception and visual comfort guided computational model for stereoscopic 3D visual saliency.
Sig. Proc.: Image Comm., 2015

Supervised dictionary learning for blind image quality assessment using quality-constraint sparse coding.
J. Visual Communication and Image Representation, 2015

Three-dimensional visual comfort assessment via preference learning.
J. Electronic Imaging, 2015

Visual discomfort relaxation for stereoscopic 3D images by adjusting zero-disparity plane for projection.
Displays, 2015

Supervised dictionary learning for blind image quality assessment.
Proceedings of the 2015 Visual Communications and Image Processing, 2015

3D Visual Comfort Assessment via Sparse Coding.
Proceedings of the Image and Graphics - 8th International Conference, 2015

Measuring Depth Perception for Stereoscopic Images Using a Phase-shift Model.
JSW, 2014

3D Visual Attention for Stereoscopic Image Quality Assessment.
JSW, 2014