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Shima Mohammadi
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2020 – today
- 2024
- [i6]Shima Mohammadi, Yaojun Wu, João Ascenso:
Fidelity-preserving Learning-Based Image Compression: Loss Function and Subjective Evaluation Methodology. CoRR abs/2403.11241 (2024) - [i5]Michela Testolina, Mohsen Jenadeleh, Shima Mohammadi, Shaolin Su, João Ascenso, Touradj Ebrahimi, Jon Sneyers, Dietmar Saupe:
Fine-grained subjective visual quality assessment for high-fidelity compressed images. CoRR abs/2410.09501 (2024) - [i4]Shima Mohammadi, João Ascenso:
Uncertainty-driven Sampling for Efficient Pairwise Comparison Subjective Assessment. CoRR abs/2411.18372 (2024) - 2023
- [c5]Shima Mohammadi
, João Ascenso
:
Predictive Sampling for Efficient Pairwise Subjective Image Quality Assessment. ACM Multimedia 2023: 6676-6684 - [c4]Michela Testolina
, Davi Lazzarotto
, Rafael Rodrigues
, Shima Mohammadi
, João Ascenso
, António M. G. Pinheiro
, Touradj Ebrahimi
:
On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression. ACM Multimedia 2023: 6715-6723 - [c3]Shima Mohammadi, Yaojun Wu, João Ascenso:
Fidelity-preserving Learning-Based Image Compression: Loss Function and Subjective Evaluation Methodology. VCIP 2023: 1-5 - [i3]Shima Mohammadi, João Ascenso:
Predictive Sampling for Efficient Pairwise Subjective Image Quality Assessment. CoRR abs/2311.03850 (2023) - [i2]Shima Mohammadi, João Ascenso:
Perceptual impact of the loss function on deep-learning image coding performance. CoRR abs/2311.06084 (2023) - [i1]Shima Mohammadi, João Ascenso:
Evaluation of Sampling Algorithms for a Pairwise Subjective Assessment Methodology. CoRR abs/2311.06093 (2023) - 2022
- [c2]Shima Mohammadi, João Ascenso:
Evaluation of Sampling Algorithms for a Pairwise Subjective Assessment Methodology. ISM 2022: 288-292 - [c1]Shima Mohammadi, João Ascenso:
Perceptual impact of the loss function on deep-learning image coding performance. PCS 2022: 37-41
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