Abderrezzaq Sendjasni

According to our database, Abderrezzaq Sendjasni authored at least 13 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Attention-Aware Patch-Based CNN for Blind 360-Degree Image Quality Assessment.

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi

Sensors, October, 2023

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).

Abderrezzaq Sendjasni

PhD thesis, 2023

PW-360IQA: Perceptually-Weighted Multichannel CNN for Blind 360-Degree Image Quality Assessment.

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi

Sensors, 2023

Adaptive Patch Labeling and Multi-Label Feature Selection for 360-Degree Image Quality Assessment.

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Seif-Eddine Benkabou

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Self Patch Labeling Using Quality Distribution Estimation for CNN-Based 360-IQA Training.

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark.

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh

IEEE Trans. Circuits Syst. Video Technol., 2022

Patch-based CNN model for 360 image quality assessment with adaptive pooling strategies.

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh

Proceedings of the Image Quality and System Performance XIX, 2022

SAL-360IQA: A Saliency Weighted Patch-Based CNN Model for 360-Degree Images Quality Assessment.

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

Investigating Normalization Methods for CNN-Based Image Quality Assessment.

Abderrezzaq Sendjasni, David Traparic, Mohamed-Chaker Larabi

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Transfer Learning from Vision Transformers or ConvNets for 360-Degree Images Quality Assessmentƒ.

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Convolutional Neural Networks for Omnidirectional Image Quality Assessment: Pre-Trained or Re-Trained?

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Perceptually-Weighted Cnn For 360-Degree Image Quality Assessment Using Visual Scan-Path And Jnd.

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

On the Improvement of 2D Quality Assessment Metrics for Omnidirectional Images.

Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh

Proceedings of the Image Quality and System Performance XVII, Electronic Imaging 2020, 2020