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Ahmed Aldahdooh
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2020 – today
- 2023
- [j8]Ahmed Aldahdooh
, Wassim Hamidouche, Olivier Déforges:
Revisiting model's uncertainty and confidences for adversarial example detection. Appl. Intell. 53(1): 509-531 (2023) - 2022
- [j7]Ahmed Aldahdooh
Adversarial example detection for DNN models: a review and experimental comparison. Artif. Intell. Rev. 55(6): 4403-4462 (2022) - [c9]Ahmed Ghorbel
Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images. BrainLes@MICCAI 2022: 25-44 - [i5]Ahmed Aldahdooh, Wassim Hamidouche, Olivier Déforges:
Federated Adversarial Training with Transformers. CoRR abs/2206.02131 (2022) - [i4]Ahmed Ghorbel, Ahmed Aldahdooh, Shadi Albarqouni, Wassim Hamidouche:
Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images. CoRR abs/2207.02059 (2022) - 2021
- [j6]Lohic Fotio Tiotsop
On the Link Between Subjective Score Prediction and Disagreement of Video Quality Metrics. IEEE Access 9: 152923-152937 (2021) - [i3]Ahmed Aldahdooh
Selective and Features based Adversarial Example Detection. CoRR abs/2103.05354 (2021) - [i2]Ahmed Aldahdooh
Adversarial Example Detection for DNN Models: A Review. CoRR abs/2105.00203 (2021) - [i1]Ahmed Aldahdooh, Wassim Hamidouche, Olivier Déforges:
Reveal of Vision Transformers Robustness against Adversarial Attacks. CoRR abs/2106.03734 (2021)
2010 – 2019
- 2019
- [j5]Ahmed Aldahdooh
Improving relevant subjective testing for validation: Comparing machine learning algorithms for finding similarities in VQA datasets using objective measures. Signal Process. Image Commun. 74: 32-41 (2019) - [j4]Ahmed Aldahdooh
Improved Performance Measures for Video Quality Assessment Algorithms Using Training and Validation Sets. IEEE Trans. Multim. 21(8): 2026-2041 (2019) - [c8]Lohic Fotio Tiotsop, Enrico Masala, Ahmed Aldahdooh, Glenn Van Wallendael
Computing Quality-of-Experience Ranges for Video Quality Estimation. QoMEX 2019: 1-3 - 2018
- [j3]Ahmed Aldahdooh
Framework for reproducible objective video quality research with case study on PSNR implementations. Digit. Signal Process. 77: 195-206 (2018) - [j2]Ahmed Aldahdooh
Proof-of-concept: role of generic content characteristics in optimizing video encoders - Complexity- and content-aware sequence-level encoder parameter decision framework. Multim. Tools Appl. 77(13): 16069-16097 (2018) - [j1]Ahmed Aldahdooh
Reproducible research framework for objective video quality measures using a large-scale database approach. SoftwareX 8: 64-68 (2018) - 2017
- [b1]Ahmed Aldahdooh:
Content-Aware Video Transmission in HEVC Context: Optimization of compression, of error resilience and concealment, and of visual quality. (Transmission vidéo «contenu»-adaptée dans le contexte HEVC: Optimisation de la compression, de la tolérance aux erreurs de la transmission, et de la qualité visuelle). École Polytechnique de l'Université de Nantes, France, 2017 - [c7]Ahmed Aldahdooh
Inpainting-based error concealment for low-delay video communication. ICASSP 2017: 1632-1636 - 2016
- [c6]Ahmed Aldahdooh
Content-aware adaptive multiple description coding scheme. ICME Workshops 2016: 1-6 - [c5]Yashas Rai, Ahmed Aldahdooh
Effect of content features on short-term video quality in the visual periphery. MMSP 2016: 1-6 - [c4]Ahmed Aldahdooh
Comparing temporal behavior of fast objective video quality measures on a large-scale database. PCS 2016: 1-5 - [c3]Ahmed Aldahdooh
Spatio-temporal error concealment technique for high order multiple description coding schemes including subjective assessment. QoMEX 2016: 1-6 - [c2]Ahmed Aldahdooh
Comparing simple video quality measures for loss-impaired video sequences on a large-scale database. QoMEX 2016: 1-6 - 2015
- [c1]Ahmed Aldahdooh
The impact of complexity in the rate-distortion optimization: A visualization tool. IWSSIP 2015: 45-48
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