| 2025 | MMSP | Latent Space Stability vs. Perceptual Sensitivity: A Study of Visual Encoders under Distortion. | Abderrezzaq Sendjasni, Mohamed-Chaker Larabi |
| 2025 | QoMEX | Local Structure Matters: A Graph-Based Approach to Point Cloud Perceptual Quality Assessment. | Abderrezzaq Sendjasni, Mohamed-Chaker Larabi |
| 2024 | ICIP | Enhancing Perceptual Quality Assessment for 360-Degree Images Based on Adaptive Patch Labeling and Multi-Label Learning. | Abderrezzaq Sendjasni, Mohamed-Chaker Larabi |
| 2024 | MMSP | Embedding Similarity Learning for Extreme License Plate Super-Resolution. | Abderrezzaq Sendjasni, Mohamed-Chaker Larabi |
| 2023 | ICIP | Self Patch Labeling Using Quality Distribution Estimation for CNN-Based 360-IQA Training. | Abderrezzaq Sendjasni, Mohamed-Chaker Larabi |
| 2023 | MMSP | Adaptive Patch Labeling and Multi-Label Feature Selection for 360-Degree Image Quality Assessment. | Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Seif-Eddine Benkabou |
| 2022 | ICIP | Transfer Learning from Vision Transformers or ConvNets for 360-Degree Images Quality Assessmentƒ. | Abderrezzaq Sendjasni, Mohamed-Chaker Larabi |
| 2022 | ICIP | Investigating Normalization Methods for CNN-Based Image Quality Assessment. | Abderrezzaq Sendjasni, David Traparic, Mohamed-Chaker Larabi |
| 2021 | ICIP | Perceptually-Weighted Cnn For 360-Degree Image Quality Assessment Using Visual Scan-Path And Jnd. | Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh |
| 2021 | ICIP | Convolutional Neural Networks for Omnidirectional Image Quality Assessment: Pre-Trained or Re-Trained? | Abderrezzaq Sendjasni, Mohamed-Chaker Larabi, Faouzi Alaya Cheikh |