Vlad Hosu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 41

Top Topics

Quality Assessment

Frame Interpolation

Top Venues

Qual. User Exp.

GECCO Companion

Publications

Vlad Hosu, Lorenzo Agnolucci, Oliver Wiedemann, Daisuke Iso
UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment. CoRR (2024)
Shaolin Su, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. IEEE Trans. Multim. 26 (2024)
Oliver Wiedemann, Vlad Hosu, Shaolin Su, Dietmar Saupe
Konx: cross-resolution image quality assessment. Qual. User Exp. 8 (1) (2023)
Michela Testolina, Vlad Hosu, Mohsen Jenadeleh, Davi Lazzarotto, Dietmar Saupe, Touradj Ebrahimi
JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range. QoMEX (2023)
Oliver Wiedemann, Vlad Hosu, Shaolin Su, Dietmar Saupe
KonX: Cross-Resolution Image Quality Assessment. CoRR (2022)
Hanhe Lin, Guangan Chen, Mohsen Jenadeleh, Vlad Hosu, Ulf-Dietrich Reips, Raouf Hamzaoui, Dietmar Saupe
Large-Scale Crowdsourced Subjective Assessment of Picturewise Just Noticeable Difference. IEEE Trans. Circuits Syst. Video Technol. 32 (9) (2022)
Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz Rakotonirina, Laurent Najman, Markus Wagner
Fairness in generative modeling: do it unsupervised! GECCO Companion (2022)
Shaolin Su, Hanhe Lin, Vlad Hosu, Oliver Wiedemann, Jinqiu Sun, Yu Zhu, Hantao Liu, Yanning Zhang, Dietmar Saupe
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model. CoRR (2022)
Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz, Laurent Najman, Markus Wagner
Fairness in generative modeling. CoRR (2022)
Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe
KonVid-150k: A Dataset for No-Reference Video Quality Assessment of Videos in-the-Wild. IEEE Access 9 (2021)
Shaolin Su, Vlad Hosu, Hanhe Lin, Yanning Zhang, Dietmar Saupe
KonIQ++: Boosting No-Reference Image Quality Assessment in the Wild by Jointly Predicting Image Quality and Defects. BMVC (2021)
Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe
Visual Quality Assessment for Interpolated Slow-Motion Videos Based on a Novel Database. QoMEX (2020)
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
Tarsier: Evolving Noise Injection in Super-Resolution GANs. ICPR (2020)
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie
Evolutionary super-resolution. GECCO Companion (2020)
Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
EvolGAN: Evolutionary Generative Adversarial Networks. CoRR (2020)
Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe
Comment on "No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features". CoRR (2020)
Oliver Wiedemann, Vlad Hosu, Hanhe Lin, Dietmar Saupe
Foveated Video Coding for Real-Time Streaming Applications. QoMEX (2020)
Hanhe Lin, Vlad Hosu, Dietmar Saupe
DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning. CoRR (2020)
Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe
SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning. Qual. User Exp. 5 (1) (2020)
Mai Lan Ha, Vlad Hosu, Volker Blanz
Color Composition Similarity and Its Application in Fine-grained Similarity. WACV (2020)
Franz Götz-Hahn, Vlad Hosu, Dietmar Saupe
Critical analysis on the reproducibility of visual quality assessment using deep features. CoRR (2020)
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
Tarsier: Evolving Noise Injection in Super-Resolution GANs. CoRR (2020)
Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud
EvolGAN: Evolutionary Generative Adversarial Networks. ACCV (4) (2020)
Tanaya Guha, Vlad Hosu, Dietmar Saupe, Bastian Goldlücke, Naveen Kumar, Weisi Lin, Victor R. Martinez, Krishna Somandepalli, Shrikanth Narayanan, Wen-Huang Cheng, Kree McLaughlin, Hartwig Adam, John See, Lai-Kuan Wong
ATQAM/MAST'20: Joint Workshop on Aesthetic and Technical Quality Assessment of Multimedia and Media Analytics for Societal Trends. ACM Multimedia (2020)
Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe
Subjective annotation for a frame interpolation benchmark using artefact amplification. Qual. User Exp. 5 (1) (2020)
Vlad Hosu, Hanhe Lin, Tamás Szirányi, Dietmar Saupe
KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment. IEEE Trans. Image Process. 29 (2020)
Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning. CoRR (2020)
Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe
Subjective Annotation for a Frame Interpolation Benchmark using Artifact Amplification. CoRR (2020)
Chunling Fan, Hanhe Lin, Vlad Hosu, Yun Zhang, Qingshan Jiang, Raouf Hamzaoui, Dietmar Saupe
SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning. QoMEX (2019)
Vlad Hosu, Bastian Goldlücke, Dietmar Saupe
Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features. CVPR (2019)
Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe
No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features. CoRR (2019)
Vlad Hosu, Hanhe Lin, Tamás Szirányi, Dietmar Saupe
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment. CoRR (2019)
Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, Dietmar Saupe
Visual Quality Assessment for Motion Compensated Frame Interpolation. QoMEX (2019)
Vlad Hosu, Bastian Goldlücke, Dietmar Saupe
Effective Aesthetics Prediction with Multi-level Spatially Pooled Features. CoRR (2019)
Hanhe Lin, Vlad Hosu, Dietmar Saupe
KADID-10k: A Large-scale Artificially Distorted IQA Database. QoMEX (2019)
Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, Dietmar Saupe
Technical Report on Visual Quality Assessment for Frame Interpolation. CoRR (2019)
Hanhe Lin, Vlad Hosu, Dietmar Saupe
KonIQ-10k: Towards an ecologically valid and large-scale IQA database. CoRR (2018)
Oliver Wiedemann, Vlad Hosu, Hanhe Lin, Dietmar Saupe
Disregarding the Big Picture: Towards Local Image Quality Assessment. QoMEX (2018)
Vlad Hosu, Hanhe Lin, Dietmar Saupe
Expertise screening in crowdsourcing image quality. QoMEX (2018)
Vlad Hosu, Franz Hahn, Mohsen Jenadeleh, Hanhe Lin, Hui Men, Tamás Szirányi, Shujun Li, Dietmar Saupe
The Konstanz natural video database (KoNViD-1k). QoMEX (2017)
Vlad Hosu, Franz Hahn, Oliver Wiedemann, Sung-Hwan Jung, Dietmar Saupe
Saliency-driven image coding improves overall perceived JPEG quality. PCS (2016)
Vlad Hosu, Mai Lan Ha, Terence Sim
Light montage for perceptual image enhancement. Comput. Graph. Forum 33 (2) (2014)