Publications

Merey Ramazanova, Alejandro Pardo, Bernard Ghanem, Motasem Alfarra (2024). Combating Missing Modalities in Egocentric Videos at Test Time. In arxiv.

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Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip H. S. Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi (2024). Generalizability of Adversarial Robustness Under Distribution Shifts. In MICCAI.

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Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan C. Pérez, Zhipeng Cai, Matthias Müller, Bernard Ghanem (2024). Evaluation of Test-Time Adaptation Under Computational Time Constraints. In ICML'24.

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Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller (2024). SimCS: Simulation for Domain Incremental Online Continual Segmentation. In AAAI'24.

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Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem (2023). Generalizability of Adversarial Robustness Under Distribution Shifts. In TMLR [Featured].

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Juan C. Pérez, Motasem Alfarra, Ali Thabet, Pablo Arbeláez, Bernard Ghanem (2023). Towards Assessing and Characterizing the Semantic Robustness of Face Recognition. In CVPRW'23.

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Joachim Houyon, Anthony Cioppa, Yasir Ghunaim, Motasem Alfarra, Anais Halin, Maxim Henry, Bernard Ghanem, Marc Van Droogenbroeck (2023). Online Distillation with Continual Learning for Cyclic Domain Shifts. In CVPRW'23.

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Andrés Villa, Juan León Alcázer, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem (2023). PIVOT: Prompting for Video Continual Learning. In CVPR'23.

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Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem (2023). Real-Time Evaluation in Online Continual Learning: A New Hope. In CVPR'23.

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Motasem Alfarra, Francisco Eiras, M. Pawan Kumar, Philip H. S. Torr, Puneet K. Dokania, Bernard Ghanem, Adel Bibi (2022). ANCER: Anisotropic Certification via Sample-wise Volume Maximization. In TMLR.

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Motasem Alfarra, Juan C. Pérez, Anna Frühstück, Philip H. S. Torr, Peter Wonka, Bernard Ghanem (2022). On the Robustness of Quality Measures for GANs. In ECCV'22.

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Motasem Alfarra, Juan C. Pérez, Egor Shulgin, Peter Richtàrik, Bernard Ghanem (2022). Certified Robustness in Federated Learning. In NeurIPSW'22.

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Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem (2022). Data Dependent Randomized Smoothing. In UAI'22.

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Motasem Alfarra, Gabriel Pérez, Juan C. Pérez, Silvio Giancola, Bernard Ghanem (2022). 3DeformRS: Certifying Spatial Deformations on Point Clouds. In CVPR'22.

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Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem (2022). DeformRS: Certifying Input Deformations with Randomized Smoothing. In AAAI'22 [oral].

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Motasem Alfarra, Juan C. Pérez, Ali Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem (2022). Combating Adversaries with Anti-Adversaries. In AAAI'22.

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Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali Thabet, Pablo Arbeláez, Bernard Ghanem (2021). Rethinking Clustering for Robustness. In BMVC'21.

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Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali Thabet, Bernard Ghanem, Pablo Arbeláez (2021). Enhancing Adversarial Robustness via Test-time Transformation Ensembling. In ICCVW'21.

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Motasem Alfarra, Juan C. Pérez, Guillaume Jeanneret, Adel Bibi, Ali Thabet, Bernard Ghanem, Pablo Arbeláez (2020). Gabor Layers Enhance Network Robustness. In ECCV'20.

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Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem (2020). On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective. In TPAMI.

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Motasem Alfarra, Slavomir Hanzely, Alyazeed Albasyoni, Bernard Ghanem, Peter Richtàrik (2020). Adaptive Learning of the Optimal Batch Size of SGD. In NeurIPSW'20.

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