Light montage for perceptual image enhancement. - Vlad Hosu; Mai Lan Ha; Terence Sim (Comput. Graph. Forum, 2014)

Saliency-driven image coding improves overall perceived JPEG quality. - Vlad Hosu; Franz Hahn; Oliver Wiedemann; Sung-Hwan Jung; Dietmar Saupe (PCS, 2016)

The Konstanz natural video database (KoNViD-1k). - Vlad Hosu; Franz Hahn; Mohsen Jenadeleh; Hanhe Lin; Hui Men; Tamás Szirányi; Shujun Li; Dietmar Saupe (QoMEX, 2017)

Expertise screening in crowdsourcing image quality. - Vlad Hosu; Hanhe Lin; Dietmar Saupe (QoMEX, 2018)

Disregarding the Big Picture: Towards Local Image Quality Assessment. - Oliver Wiedemann; Vlad Hosu; Hanhe Lin; Dietmar Saupe (QoMEX, 2018)

KonIQ-10k: Towards an ecologically valid and large-scale IQA database. - Hanhe Lin; Vlad Hosu; Dietmar Saupe (CoRR, 2018)

Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features. - Vlad Hosu; Bastian Goldlücke; Dietmar Saupe (CVPR, 2019)

SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning. - Chunling Fan; Hanhe Lin; Vlad Hosu; Yun Zhang 002; Qingshan Jiang; Raouf Hamzaoui; Dietmar Saupe (QoMEX, 2019)

KADID-10k: A Large-scale Artificially Distorted IQA Database. - Hanhe Lin; Vlad Hosu; Dietmar Saupe (QoMEX, 2019)

Visual Quality Assessment for Motion Compensated Frame Interpolation. - Hui Men; Hanhe Lin; Vlad Hosu; Daniel Maurer 002; Andrés Bruhn; Dietmar Saupe (QoMEX, 2019)

Technical Report on Visual Quality Assessment for Frame Interpolation. - Hui Men; Hanhe Lin; Vlad Hosu; Daniel Maurer 002; Andrés Bruhn; Dietmar Saupe (CoRR, 2019)

No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features. - Franz Götz-Hahn; Vlad Hosu; Hanhe Lin; Dietmar Saupe (CoRR, 2019)

EvolGAN: Evolutionary Generative Adversarial Networks. - Baptiste Rozière; Fabien Teytaud; Vlad Hosu; Hanhe Lin; Jérémy Rapin; Mariia Zameshina; Olivier Teytaud (ACCV (4), 2020)

Evolutionary super-resolution. - Baptiste Rozière; Nathanaël Carraz Rakotonirina; Vlad Hosu; Hanhe Lin; Andry Rasoanaivo; Olivier Teytaud; Camille Couprie (GECCO Companion, 2020)

Tarsier: Evolving Noise Injection in Super-Resolution GANs. - Baptiste Rozière; Nathanaël Carraz Rakotonirina; Vlad Hosu; Andry Rasoanaivo; Hanhe Lin; Camille Couprie; Olivier Teytaud (ICPR, 2020)

ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends. - Tanaya Guha; Vlad Hosu; Dietmar Saupe; Bastian Goldlücke; Naveen Kumar 004; Weisi Lin; Victor R. Martinez; Krishna Somandepalli; Shrikanth Narayanan; Wen-Huang Cheng; Kree McLaughlin; Hartwig Adam; et al. (ACM Multimedia, 2020)

Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database. - Hui Men; Vlad Hosu; Hanhe Lin; Andrés Bruhn; Dietmar Saupe (QoMEX, 2020)

Foveated Video Coding for Real-Time Streaming Applications. - Oliver Wiedemann; Vlad Hosu; Hanhe Lin; Dietmar Saupe (QoMEX, 2020)

Color Composition Similarity and Its Application in Fine-grained Similarity. - Mai Lan Ha; Vlad Hosu; Volker Blanz (WACV, 2020)

SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning. - Hanhe Lin; Vlad Hosu; Chunling Fan; Yun Zhang 002; Yuchen Mu; Raouf Hamzaoui; Dietmar Saupe (CoRR, 2020)

Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification. - Hui Men; Vlad Hosu; Hanhe Lin; Andrés Bruhn; Dietmar Saupe (CoRR, 2020)

DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning. - Hanhe Lin; Vlad Hosu; Dietmar Saupe (CoRR, 2020)

Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features". - Franz Götz-Hahn; Vlad Hosu; Dietmar Saupe (CoRR, 2020)

Critical analysis on the reproducibility of visual quality assessment using deep features. - Franz Götz-Hahn; Vlad Hosu; Dietmar Saupe (CoRR, 2020)

SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning. - Hanhe Lin; Vlad Hosu; Chunling Fan; Yun Zhang 002; Yuchen Mu; Raouf Hamzaoui; Dietmar Saupe (Qual. User Exp., 2020)

Subjective annotation for a frame interpolation benchmark using artefact amplification. - Hui Men; Vlad Hosu; Hanhe Lin; Andrés Bruhn; Dietmar Saupe (Qual. User Exp., 2020)

KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment. - Vlad Hosu; Hanhe Lin; Tamás Szirányi; Dietmar Saupe (IEEE Trans. Image Process., 2020)

KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects. - Shaolin Su; Vlad Hosu; Hanhe Lin; Yanning Zhang 001; Dietmar Saupe (BMVC, 2021)

KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild. - Franz Götz-Hahn; Vlad Hosu; Hanhe Lin; Dietmar Saupe (IEEE Access, 2021)

Fairness in generative modeling: do it unsupervised! - Mariia Zameshina; Olivier Teytaud; Fabien Teytaud; Vlad Hosu; Nathanaël Carraz Rakotonirina; Laurent Najman; Markus Wagner 007 (GECCO Companion, 2022)

Fairness in generative modeling. - Mariia Zameshina; Olivier Teytaud; Fabien Teytaud; Vlad Hosu; Nathanaël Carraz; Laurent Najman; Markus Wagner 007 (CoRR, 2022)

Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference. - Hanhe Lin; Guangan Chen; Mohsen Jenadeleh; Vlad Hosu; Ulf-Dietrich Reips; Raouf Hamzaoui; Dietmar Saupe (IEEE Trans. Circuits Syst. Video Technol., 2022)

KonIQ-10k IQA Database. - Vlad Hosu; Hanhe Lin; Tamás Szirányi; Dietmar Saupe (DaRUS, 2022)

JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range. - Michela Testolina; Vlad Hosu; Mohsen Jenadeleh; Davi Lazzarotto; Dietmar Saupe; Touradj Ebrahimi (QoMEX, 2023)

Konx: cross-resolution image quality assessment. - Oliver Wiedemann; Vlad Hosu; Shaolin Su; Dietmar Saupe (Qual. User Exp., 2023)

UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment. - Vlad Hosu; Lorenzo Agnolucci; Oliver Wiedemann; Daisuke Iso; Dietmar Saupe (ECCV Workshops (9), 2024)

AIM 2024 Challenge on UHD Blind Photo Quality Assessment. - Vlad Hosu; Marcos V. Conde; Lorenzo Agnolucci; Nabajeet Barman; Saman Zadtootaghaj; Radu Timofte; Wei Sun 029; Weixia Zhang; Yuqin Cao; Linhan Cao; Jun Jia; Zijian Chen 001; et al. (ECCV Workshops (10), 2024)

UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment. - Vlad Hosu; Lorenzo Agnolucci; Oliver Wiedemann; Daisuke Iso (CoRR, 2024)

Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. - Shaolin Su; Hanhe Lin; Vlad Hosu; Oliver Wiedemann; Jinqiu Sun; Yu Zhu 004; Hantao Liu; Yanning Zhang 001; Dietmar Saupe (IEEE Trans. Multim., 2024)

Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution. - Vlad Hosu; Lorenzo Agnolucci; Daisuke Iso; Dietmar Saupe (CoRR, 2025)