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3D Visual Discomfort Predictor: Analysis of Disparity and Neural Activity Statistics., , , and . IEEE Trans. Image Processing, 24 (3): 1101-1114 (2015)Visual Presence: Viewing Geometry Visual Information of UHD S3D Entertainment., and . IEEE Trans. Image Processing, 25 (7): 3358-3371 (2016)Deep Visual Discomfort Predictor for Stereoscopic 3D Images., , , and . IEEE Trans. Image Processing, 27 (11): 5420-5432 (2018)A new block compressive sensingto control the number of measurements., , and . ICIP, page 2713-2716. IEEE, (2011)CNN-Based Blind Quality Prediction On Stereoscopic Images Via Patch To Image Feature Pooling., , , and . ICIP, page 1745-1749. IEEE, (2019)Visually Weighted Compressive Sensing: Measurement and Reconstruction., , , and . IEEE Trans. Image Processing, 22 (4): 1444-1455 (2013)Stereoscopic 3D Visual Discomfort Prediction: A Dynamic Accommodation and Vergence Interaction Model., , and . IEEE Trans. Image Processing, 25 (2): 615-629 (2016)Blind Deep S3D Image Quality Evaluation via Local to Global Feature Aggregation., , , and . IEEE Trans. Image Processing, 26 (10): 4923-4936 (2017)Enhancement of Visual Comfort and Sense of Presence on Stereoscopic 3D Images., , , , , and . IEEE Trans. Image Processing, 26 (8): 3789-3801 (2017)Prediction of visual fatigue from spatiotemporal characteristics in stereoscopic video., and . 3DTV-Conference, page 1-4. IEEE, (2012)