Vlad Hosu
Orcid: 0000-0001-7070-5688Affiliations:
- University of Konstanz, Department of Computer and Information Science, Germany
According to our database1,
Vlad Hosu
authored at least 37 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Trans. Multim., 2024
UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment.
CoRR, 2024
2023
JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range.
Proceedings of the 15th International Conference on Quality of Multimedia Experience, 2023
2022
Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference.
IEEE Trans. Circuits Syst. Video Technol., 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild.
IEEE Access, 2021
KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment.
IEEE Trans. Image Process., 2020
Subjective annotation for a frame interpolation benchmark using artefact amplification.
Qual. User Exp., 2020
SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning.
Qual. User Exp., 2020
Critical analysis on the reproducibility of visual quality assessment using deep features.
CoRR, 2020
Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features".
CoRR, 2020
Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification.
CoRR, 2020
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning.
CoRR, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the Twelfth International Conference on Quality of Multimedia Experience, 2020
Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database.
Proceedings of the Twelfth International Conference on Quality of Multimedia Experience, 2020
ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
CoRR, 2019
Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019
Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019
SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning.
Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018
Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018
2017
Proceedings of the Ninth International Conference on Quality of Multimedia Experience, 2017
2016
Proceedings of the 2016 Picture Coding Symposium, 2016
2014