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Abderrezzaq Sendjasni
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2020 – today
- 2023
- [b1]Abderrezzaq Sendjasni:
Objective and subjective quality assessment of 360-degree images. (Évaluation objective et subjective de la qualité des images à 360 degrés / Objektiv og subjektiv kvalitetsvurdering av 360-graders bilder). Norwegian University of Science and Technology, Trondheim, Norway, 2023 - [j3]Abderrezzaq Sendjasni, Mohamed-Chaker Larabi:
PW-360IQA: Perceptually-Weighted Multichannel CNN for Blind 360-Degree Image Quality Assessment. Sensors 23(9): 4242 (2023) - [j2]Abderrezzaq Sendjasni, Mohamed-Chaker Larabi:
Attention-Aware Patch-Based CNN for Blind 360-Degree Image Quality Assessment. Sensors 23(21): 8676 (2023) - [c9]Abderrezzaq Sendjasni, Mohamed-Chaker Larabi:
Self Patch Labeling Using Quality Distribution Estimation for CNN-Based 360-IQA Training. ICIP 2023: 2640-2644 - [c8]Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Seif-Eddine Benkabou:
Adaptive Patch Labeling and Multi-Label Feature Selection for 360-Degree Image Quality Assessment. MMSP 2023: 1-6 - 2022
- [j1]Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh:
Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7301-7316 (2022) - [c7]Abderrezzaq Sendjasni, David Traparic, Mohamed-Chaker Larabi:
Investigating Normalization Methods for CNN-Based Image Quality Assessment. ICIP 2022: 4113-4117 - [c6]Abderrezzaq Sendjasni, Mohamed-Chaker Larabi:
Transfer Learning from Vision Transformers or ConvNets for 360-Degree Images Quality Assessmentƒ. ICIP 2022: 4133-4137 - [c5]Abderrezzaq Sendjasni, Mohamed-Chaker Larabi:
SAL-360IQA: A Saliency Weighted Patch-Based CNN Model for 360-Degree Images Quality Assessment. ICME Workshops 2022: 1-6 - [c4]Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh:
Patch-based CNN model for 360 image quality assessment with adaptive pooling strategies. IQSP 2022: 1-6 - 2021
- [c3]Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh:
Perceptually-Weighted Cnn For 360-Degree Image Quality Assessment Using Visual Scan-Path And Jnd. ICIP 2021: 1439-1443 - [c2]Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh:
Convolutional Neural Networks for Omnidirectional Image Quality Assessment: Pre-Trained or Re-Trained? ICIP 2021: 3413-3417 - 2020
- [c1]Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh:
On the Improvement of 2D Quality Assessment Metrics for Omnidirectional Images. IQSP 2020
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