Kamu erişimi zorunlu olan makaleler - Jari KorhonenDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 10
Two-Level Approach for No-Reference Consumer Video Quality Assessment
J Korhonen
IEEE Transactions on Image Processing 28 (12), 5923-5938, 2019
Zorunlu olanlar: National Natural Science Foundation of China
Blind Natural Video Quality Prediction via Statistical Temporal Features and Deep Spatial Features
J Korhonen, Y Su, J You
Proceedings of the 28th ACM International Conference on Multimedia, 3311-3319, 2020
Zorunlu olanlar: National Natural Science Foundation of China
Blind Natural Image Quality Prediction Using Convolutional Neural Networks And Weighted Spatial Pooling
Y Su, J Korhonen
2020 IEEE International Conference on Image Processing (ICIP), 191-195, 2020
Zorunlu olanlar: National Natural Science Foundation of China
Modeling the subjective quality of highly contrasted videos displayed on LCD with local backlight dimming
C Mantel, S Bech, J Korhonen, S Forchhammer, JM Pedersen
IEEE Transactions on Image Processing 24 (2), 573-582, 2014
Zorunlu olanlar: Danish Council for Strategic Research
Controlling power consumption for displays with backlight dimming
C Mantel, N Burini, E Nadernejad, J Korhonen, S Forchhammer, ...
Journal of Display Technology 9 (12), 933-941, 2013
Zorunlu olanlar: Danish Council for Strategic Research
Learning-based Prediction of Packet Loss Artifact Visibility in Networked Video
J Korhonen
2018 Tenth International Conference on Quality of Multimedia Experience …, 2018
Zorunlu olanlar: National Natural Science Foundation of China
Subjective Assessment of Post-Processing Methods for Low Light Consumer Photos
L Bie, X Wang, J Korhonen
2018 Tenth International Conference on Quality of Multimedia Experience …, 2018
Zorunlu olanlar: National Natural Science Foundation of China
Reproducibility Companion Paper: Blind Natural Video Quality Prediction via Statistical Temporal Features and Deep Spatial Features
J Korhonen, Y Su, J You, S Hicks, C Midoglu
Proceedings of the 29th ACM International Conference on Multimedia, 3622-3626, 2021
Zorunlu olanlar: National Natural Science Foundation of China
Optimizing the Parameters for Post-Processing Consumer Photos via Machine Learning
L Bie, X Wang, J Korhonen
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
Zorunlu olanlar: National Natural Science Foundation of China
Practical Video Quality Assessment Of User Generated Content
J Korhonen, X Wen, J Cheng, X Wang
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2021
Zorunlu olanlar: National Natural Science Foundation of China
Bir yerde sunuluyor: 4
Attention integrated hierarchical networks for no-reference image quality assessment
J You, J Korhonen
Journal of Visual Communication and Image Representation 82, 103399, 2022
Zorunlu olanlar: National Natural Science Foundation of China, Research Council of Norway
Adversarial Attacks against Blind Image Quality Assessment Models
J Korhonen, J You
Proceedings of the 2nd Workshop on Quality of Experience in Visual …, 2022
Zorunlu olanlar: National Natural Science Foundation of China
Study of the subjective visibility of packet loss artifacts in decoded video sequences
J Korhonen
IEEE Transactions on Broadcasting 64 (2), 354-366, 2018
Zorunlu olanlar: National Natural Science Foundation of China
Assessing Personally perceived image quality via image features and collaborative filtering
J Korhonen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Zorunlu olanlar: National Natural Science Foundation of China
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