Publications

Shaolin Su, Vlad Hosu, Hanhe Lin, Yanning Zhang, and Dietmar Saupe. KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects. 32nd British Machine Vision Conference, 1–12, 2021. [PUMA: sfbtrr161 a05 from:christinawarren 2021] URL

Hui Men, Hanhe Lin, Mohsen Jenadeleh, and Dietmar Saupe. Subjective Image Quality Assessment with Boosted Triplet Comparisons. IEEE Access, (9):138939-138975, IEEE, 2021. [PUMA: sfbtrr161 a05 from:christinawarren 2021] URL

Hanhe Lin, Guangan Chen, and Felix Wilhelm Siebert. Positional Encoding: Improving Class-Imbalanced Motorcycle Helmet use Classification. 2021 IEEE International Conference on Image Processing (ICIP), 1194-1198, 2021. [PUMA: sfbtrr161 a05 from:christinawarren 2021] URL

Baptiste Roziere, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jeremy Rapin, Mariia Zameshina, and Olivier Teytaud. EvolGAN: Evolutionary Generative Adversarial Networks. Computer Vision -- ACCV 2020, 679--694, Springer International Publishing, Cham, November 2021. [PUMA: 2021 a05 from:christinawarren sfbtrr161] URL

Baptiste Roziere, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, and Olivier Teytaud. Tarsier: Evolving Noise Injection in Super-Resolution GANs. 2020 25th International Conference on Pattern Recognition (ICPR), 7028-7035, 2021. [PUMA: sfbtrr161 a05 from:christinawarren 2021] URL

Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, and Dietmar Saupe. KonVid-150k : A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild. IEEE Access, (9):72139--72160, 2021. [PUMA: sfbtrr161 a05 from:christinawarren 2021] URL