Mr Kamran Javidi


2026

Evaluation and Comparison of Statistical Models for Estimating Large-Scale MOS from Small Subjective Subsets
Javidi, K. and Martini, M.G. 2026. Evaluation and Comparison of Statistical Models for Estimating Large-Scale MOS from Small Subjective Subsets. 18th International Conference on Quality of Multimedia Experience (QoMEX). Cardiff, UK 29 Jun - 03 Jul 2026 IEEE . https://doi.org/10.1109/QoMEX69967.2026.11618375

2025

Subjective quality assessment study of KULF-TT53 dataset on a commercial light field display
Javidi, K. and Martini, M.G. 2025. Subjective quality assessment study of KULF-TT53 dataset on a commercial light field display. Visual Communications and Image Processing. Austria 01 - 04 Dec 2025 IEEE . https://doi.org/10.1109/VCIP67698.2025.11396857

2024

Investigation of the separation zone for split-domain light field visualization
Javidi, K., Martini, M.G. and Kara, P.A. 2024. Investigation of the separation zone for split-domain light field visualization. 28th International Conference on Information Technology (IT). Zabljak, Montenegro 21 - 24 Apr 2024 IEEE . https://doi.org/10.1109/IT61232.2024.10475755

2025

Preprint: Comparison of point-cloud construction strategies for the lossless compression of event camera data
Martini, M.G. and Javidi, K. 2025. Preprint: Comparison of point-cloud construction strategies for the lossless compression of event camera data. TechRxiv. https://doi.org/10.36227/techrxiv.174535660.05715604/v1

2024

A Light-Field Video Dataset of Scenes with Moving Objects Captured with a Plenoptic Video Camera
Kamran Javidi and Maria G. Martini 2024. A Light-Field Video Dataset of Scenes with Moving Objects Captured with a Plenoptic Video Camera. Electronics. 13 (11) 2223. https://doi.org/10.3390/electronics13112223

2023

KULF-TT53: A Display-Specific Turntable-Based Light Field Dataset for Subjective Quality Assessment
Kamran Javidi, Maria G. Martini and Peter A. Kara 2023. KULF-TT53: A Display-Specific Turntable-Based Light Field Dataset for Subjective Quality Assessment. Electronics. 12 (23) 4868. https://doi.org/10.3390/electronics12234868


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