Shima Mohammadi

Academic position:	PhD Student
Joining date:	01-07-2021
Roles in IT:	PhD Student
Thematic Line:	Information and Data Sciences
Group:	Multimedia Signal Processing – Lx

Email: Send Email
Address: IT – Lisboa
Instituto Superior Técnico - Torre Norte - Piso 10
Av. Rovisco Pais, 1
1049 - 001 Lisboa
Tel: +351 21 841 84 54

http://www.cienciavitae.pt/1312-1111-FE96

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Scientific Achievements

Thesis Information

Deep Learning based Image Coding: Quality Assessment and Perceptual Optimization, Instituto Superior Técnico, PhD Student, Shima Mohammadi, Supervisor: J. Ascenso, set-2021 - mar-2026

Publications

1Papers in Journals

S. Mohammadi, J. Ascenso, Uncertainty driven Sampling for Efficient Pairwise Comparison Subjective Assessment, IEEE Transactions on Multimedia, Vol. 27, No., pp. 9492 - 9504, September, 2025,
| Abstract | BibTex

8Papers in Conferences

M. Jenadeleh, S. Mohammadi, M. Testolina, J. Sneyers, T.E. Ebrahimi, D. Saupe, J. Ascenso, In-place Double Stimulus Methodology for Subjective Assessment of High Quality Images, The European Workshop on Visual Information Processing EUVIP, Valetta, Malta, October, 2025,
| Abstract | Full text (PDF 1 MB) | BibTex
M. Jenadeleh, J. Sneyers, P. Jia, S. Mohammadi, J. Ascenso, D. Saupe, Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression, International Conference on Quality of Multimedia Experience QoMEX, Madrid, Spain, September, 2025 | Full text (PDF 31 MBs) | BibTex
M. Jenadeleh, J. Sneyers, D. Lazzarotto, S. Mohammadi, D. Keller, A. Boev, R. R. R. Rao, A. Pinheiro, T. Ritcher, A. Raake, T.E. Ebrahimi, J. Ascenso, D. Saupe, Fine-Grained HDR Image Quality Assessment From Noticeably Distorted to Very High Fidelity, International Conference on Quality of Multimedia Experience QoMEX, Madrid, Spain, September, 2025 | Full text (PDF 1 MB) | BibTex
M. Testolina, M. Jenadeleh, S. Mohammadi, S. Su, J. Ascenso, T.E. Ebrahimi, J. Sneyers, D. Saupe, Fine-Grained Subjective Visual Quality Assessment for High-Fidelity Compressed Images, IEEE Data Compression Conference - DCC, Snowbird, UT, United States, Vol., pp. -, March, 2025,
| Abstract | BibTex
S. Mohammadi, Y. Wu, J. Ascenso, Fidelity-preserving Learning-Based Image Compression: Loss Function and Subjective Evaluation Methodology, Visual Communications and Image Processing - VCIP, Jeju, Korea, South, December, 2023 | BibTex
S. Mohammadi, J. Ascenso, Predictive Sampling for Efficient Pairwise Subjective Image Quality Assessment, ACM International Conference on Multimedia, Ottawa, Canada, October, 2023,
| Abstract | BibTex
M. Testolina, D. Lazzarotto, Rafael Rodrigues, S. Mohammadi, J. Ascenso, A. Pinheiro, T.E. Ebrahimi, On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression, ACM International Conference on Multimedia, Ottawa, Canada, October, 2023,
| Abstract | BibTex
S. Mohammadi, J. Ascenso, Perceptual Impact of the Loss Function on Deep Learning Image Coding Performance, Picture Coding Symp., San Jose, United States, Vol., pp. -, December, 2022 | Full text (PDF 17 MBs) | BibTex

Projects

Closed Projects1

Acronym	Name	Funding Agency	Start date	Ending date
DARING	Deep compression: emerging pAradigm foR Image codiNG	FCT	01-06-2021	28-02-2025

Related UN SDG

Activities from this researcher fall under the following United Nations Strategic Development Goals (SDGs):

IT Member Profile

Shima Mohammadi

Scientific Achievements

Closed Projects1