Vlad Hosu

According to our database, Vlad Hosu authored at least 35 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Hantao Liu, Yanning Zhang, Dietmar Saupe

IEEE Trans. Multim., 2024

2023

Konx: cross-resolution image quality assessment.

Oliver Wiedemann, Vlad Hosu, Shaolin Su, Dietmar Saupe

Qual. User Exp., 2023

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

Proceedings of the 15th International Conference on Quality of Multimedia Experience, 2023

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

Fairness in generative modeling.

Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz, Laurent Najman, Markus Wagner

CoRR, 2022

Fairness in generative modeling: do it unsupervised!

Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz Rakotonirina, Laurent Najman, Markus Wagner

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.

Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe

IEEE Access, 2021

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, Dietmar Saupe

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.

Vlad Hosu, Hanhe Lin, Tamás Szirányi, Dietmar Saupe

IEEE Trans. Image Process., 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

SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning.

Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe

Qual. User Exp., 2020

Critical analysis on the reproducibility of visual quality assessment using deep features.

Franz Götz-Hahn, 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

DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning.

Hanhe Lin, Vlad Hosu, 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

SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning.

Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe

CoRR, 2020

Color Composition Similarity and Its Application in Fine-grained Similarity.

Mai Lan Ha, Vlad Hosu, Volker Blanz

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Foveated Video Coding for Real-Time Streaming Applications.

Oliver Wiedemann, Vlad Hosu, Hanhe Lin, Dietmar Saupe

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.

Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe

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.

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

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Tarsier: Evolving Noise Injection in Super-Resolution GANs.

Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Evolutionary super-resolution.

Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

EvolGAN: Evolutionary Generative Adversarial Networks.

Baptiste Rozière, Fabien Teytaud, Vlad Hosu, Hanhe Lin, Jérémy Rapin, Mariia Zameshina, Olivier Teytaud

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features.

Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe

CoRR, 2019

Technical Report on Visual Quality Assessment for Frame Interpolation.

Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, Dietmar Saupe

CoRR, 2019

Visual Quality Assessment for Motion Compensated Frame Interpolation.

Hui Men, Hanhe Lin, Vlad Hosu, Daniel Maurer, Andrés Bruhn, Dietmar Saupe

Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019

KADID-10k: A Large-scale Artificially Distorted IQA Database.

Hanhe Lin, Vlad Hosu, Dietmar Saupe

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.

Chunling Fan, Hanhe Lin, Vlad Hosu, Yun Zhang, Qingshan Jiang, Raouf Hamzaoui, Dietmar Saupe

Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019

Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features.

Vlad Hosu, Bastian Goldlücke, Dietmar Saupe

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

KonIQ-10k: Towards an ecologically valid and large-scale IQA database.

Hanhe Lin, Vlad Hosu, Dietmar Saupe

CoRR, 2018

Disregarding the Big Picture: Towards Local Image Quality Assessment.

Oliver Wiedemann, Vlad Hosu, Hanhe Lin, Dietmar Saupe

Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018

Expertise screening in crowdsourcing image quality.

Vlad Hosu, Hanhe Lin, Dietmar Saupe

Proceedings of the Tenth International Conference on Quality of Multimedia Experience, 2018

2017

The Konstanz natural video database (KoNViD-1k).

Vlad Hosu, Franz Hahn, Mohsen Jenadeleh, Hanhe Lin, Hui Men, Tamás Szirányi, Shujun Li, Dietmar Saupe

Proceedings of the Ninth International Conference on Quality of Multimedia Experience, 2017

2016

Saliency-driven image coding improves overall perceived JPEG quality.

Vlad Hosu, Franz Hahn, Oliver Wiedemann, Sung-Hwan Jung, Dietmar Saupe

Proceedings of the 2016 Picture Coding Symposium, 2016

2014

Light montage for perceptual image enhancement.

Vlad Hosu, Mai Lan Ha, Terence Sim

Comput. Graph. Forum, 2014