Publications
2026
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Zitouni, A. M., Zenakhri, A., Haroun, K., & Boubchir, L., (2026).
Sparse Attention to Emotion :Efficient Facial Emotion Recognition via Token Reduction.
In IEEE International Conference on Image Processing, 2026 (Under review).
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Szczepanski, M., Poreba, M., Haroun, K. (2026).
Where Do Tokens Go? Understanding Pruning Behaviors in
STEP at High Resolutions. SN Computer Science, 7(2), 137.
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Szczepanski, M., Poreba, M., Haroun, K. (2026).
Optimising ViT for Edge Deployment: Hybrid Token Reduction
for Efficient Semantic Segmentation. In Charting the Intelligence Frontiers Edge AI Systems Nexus (pp. 167-179). River Publishers.
2025
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Maisonnave, L*., Haroun, K*., & Pegeot, T., (2025).
Exploiting Information Redundancy in Attention Maps for Extreme Quantization of Vision Transformers.
In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 4033-4041).
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Haroun, K., Zitouni, A. M., Zenakhri, A., Guessoum, M. A., & Boubchir, L. (2025).
Efficient Deep Learning for Biometrics: Overview,
Challenges and Trends in Ear of Frugal AI. In 2025 12th International Conference on Software Defined Systems (SDS)
(pp. 45-52). IEEE.
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Haroun, K., Allenet, T., Chehida, K. B., & Martinet, J. (2025).
Dynamic Hierarchical Token Merging for Vision Transformers.
In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
- Volume 3: VISAPP, ISBN 978-989-758-728-3, ISSN 2184-4321, pages 677-684.
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Proust, M., Poreba, M., Szczepanski, M., Haroun, K. (2025).
STEP: SuperToken and Early-Pruning for Efficient Semantic Segmentation.
In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
- Volume 3: VISAPP, ISBN 978-989-758-728-3, ISSN 2184-4321, pages 50-61.
2024
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Haroun, K., Martinet, J., Chehida, K. B., & Allenet, T. (2024, December).
Leveraging local similarity for token merging in Vision Transformers.
In ICONIP 2024-31th International Conference on Neural Information Processing.
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Fabre, W., Haroun, K., Lorrain, V., Lepecq, M., & Sicard, G.
From Near-Sensor to In-Sensor: A State-of-the-Art Review of Embedded AI Vision Systems.
Sensors, 24(16), 5446.
2021