Creating and sharing knowledge for telecommunications
... Shima Mohammadi

PhD Student

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
Fax: +351 21 841 84 72


Scientific Achievements

  • Deep Learning based Image Coding: Quality Assessment and Perceptual Optimization, Instituto Superior Técnico, PhD Student, Shima Mohammadi, Supervisor: J. Ascenso, set-2021 - dez-2025
  • 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

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

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