Dietmar Saupe

Dietmar Saupe

Universität Konstanz

H-index: 56

Europe-Germany

About Dietmar Saupe

Dietmar Saupe, With an exceptional h-index of 56 and a recent h-index of 28 (since 2020), a distinguished researcher at Universität Konstanz, specializes in the field of Multimedia Signal Processing, Sport Informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Relaxed forced choice improves performance of visual quality assessment methods

Crowdsourced Estimation of Collective Just Noticeable Difference for Compressed Video with Flicker Test and QUEST+

CUDAS: Distortion-aware saliency benchmark

Metabolische Simulation

Konx: cross-resolution image quality assessment

Going the extra mile in face image quality assessment: A novel database and model

Jpeg aic-3 dataset: Towards defining the high quality to nearly visually lossless quality range

Localization of just noticeable difference for image compression

Dietmar Saupe Information

University

Position

Professor of Computer Science Germany

Citations(all)

21744

Citations(since 2020)

4406

Cited By

17101

hIndex(all)

56

hIndex(since 2020)

28

i10Index(all)

153

i10Index(since 2020)

67

Email

University Profile Page

Universität Konstanz

Google Scholar

View Google Scholar Profile

Dietmar Saupe Skills & Research Interests

Multimedia Signal Processing

Sport Informatics

Top articles of Dietmar Saupe

Title

Journal

Author(s)

Publication Date

Relaxed forced choice improves performance of visual quality assessment methods

Mohsen Jenadeleh

Johannes Zagermann

Harald Reiterer

Ulf-Dietrich Reips

Raouf Hamzaoui

...

2023/6/20

Crowdsourced Estimation of Collective Just Noticeable Difference for Compressed Video with Flicker Test and QUEST+

Authorea Preprints

Mohsen Jenadeleh

Raouf Hamzaoui

Ulf-Dietrich Reips

Dietmar Saupe

2023/10/31

CUDAS: Distortion-aware saliency benchmark

IEEE Access

Xin Zhao

Jianxun Lou

Xinbo Wu

Yingying Wu

Lucie Lévêque

...

2023/6/6

Metabolische Simulation

Dietmar Saupe

2023/10/15

Konx: cross-resolution image quality assessment

Quality and User Experience

Oliver Wiedemann

Vlad Hosu

Shaolin Su

Dietmar Saupe

2023/12

Going the extra mile in face image quality assessment: A novel database and model

IEEE Transactions on Multimedia

Shaolin Su

Hanhe Lin

Vlad Hosu

Oliver Wiedemann

Jinqiu Sun

...

2023/8/4

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

...

2023/6/20

Localization of just noticeable difference for image compression

Chen Guangan

Lin Hanhe

Wiedemann Oliver

Saupe Dietmar

2023

Crowdsourced Quality Assessment of Enhanced Underwater Images-a Pilot Study

Hanhe Lin

Hui Men

Yijun Yan

Jinchang Ren

Dietmar Saupe

2022/9/5

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

Plos one

Franz Götz-Hahn

Vlad Hosu

Dietmar Saupe

2022/8/16

TranSalNet: Towards perceptually relevant visual saliency prediction

Neurocomputing

Jianxun Lou

Hanhe Lin

David Marshall

Dietmar Saupe

Hantao Liu

2022/7/14

Large-scale crowdsourced subjective assessment of picturewise just noticeable difference

IEEE Transactions on Circuits and Systems for Video Technology

Hanhe Lin

Guangan Chen

Mohsen Jenadeleh

Vlad Hosu

Ulf-Dietrich Reips

...

2022/3/31

Subjective image quality assessment with boosted triplet comparisons

IEEE Access

Hui Men

Hanhe Lin

Mohsen Jenadeleh

Dietmar Saupe

2021/10/5

KonVid-150k: A dataset for no-reference video quality assessment of videos in-the-wild

IEEE Access

Franz Götz-Hahn

Vlad Hosu

Hanhe Lin

Dietmar Saupe

2021/5/5

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

2021

Transalnet: Visual saliency prediction using transformers

arXiv preprint arXiv:2110.03593

Jianxun Lou

Hanhe Lin

David Marshall

Dietmar Saupe

Hantao Liu

2021

Blind quality assessment of iris images acquired in visible light for biometric recognition

Sensors

Mohsen Jenadeleh

Marius Pedersen

Dietmar Saupe

2020/2/28

Subjective assessment of global picture-wise just noticeable difference

Hanhe Lin

Mohsen Jenadeleh

Guangan Chen

Ulf-Dietrich Reips

Raouf Hamzaoui

...

2020/7/6

Subjective annotation for a frame interpolation benchmark using artefact amplification

Quality and User Experience

Hui Men

Vlad Hosu

Hanhe Lin

Andrés Bruhn

Dietmar Saupe

2020/12

Gaze Data for Quality Assessment of Foveated Video

Oliver Wiedemann

Dietmar Saupe

2020/6

See List of Professors in Dietmar Saupe University(Universität Konstanz)