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1 |
Uncovering Cultural Influences on Perceptual Image and Video Quality Assessment through Adaptive Quantized Metric Models
Saupe, Dietmar. - Konstanz : KOPS Universität Konstanz, 2025
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2 |
CUDAS : Distortion-Aware Saliency Benchmark
Zhao, Xin. - Konstanz : KOPS Universität Konstanz, 2023
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3 |
JPEG AIC-3 Dataset : Towards Defining the High Quality to Nearly Visually Lossless Quality Range
Testolina, Michela. - Konstanz : KOPS Universität Konstanz, 2023
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4 |
Konx : cross-resolution image quality assessment
Wiedemann, Oliver. - Konstanz : KOPS Universität Konstanz, 2023
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5 |
Critical analysis on the reproducibility of visual quality assessment using deep features
Götz-Hahn, Franz. - Konstanz : KOPS Universität Konstanz, 2022
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6 |
Crowdsourced Quality Assessment of Enhanced Underwater Images : a Pilot Study
Lin, Hanhe. - Konstanz : KOPS Universität Konstanz, 2022
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7 |
Large-scale crowdsourced subjective assessment of picturewise just noticeable difference
Lin, Hanhe. - Konstanz : KOPS Universität Konstanz, 2022
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8 |
TranSalNet : Towards perceptually relevant visual saliency prediction
Lou, Jianxun. - Konstanz : KOPS Universität Konstanz, 2022
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9 |
KonVid-150k : A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild
Götz-Hahn, Franz. - Konstanz : KOPS Universität Konstanz, 2021
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10 |
Subjective Image Quality Assessment With Boosted Triplet Comparisons
Men, Hui. - Konstanz : KOPS Universität Konstanz, 2021
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