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Motasem Alfarra
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2020 – today
- 2024
- [c15]Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller:
SimCS: Simulation for Domain Incremental Online Continual Segmentation. AAAI 2024: 10795-10803 - [c14]Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan Camilo Pérez, Zhipeng Cai, Matthias Müller, Bernard Ghanem:
Evaluation of Test-Time Adaptation Under Computational Time Constraints. ICML 2024 - [c13]Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem:
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation. ICML 2024 - [i23]Merey Ramazanova, Alejandro Pardo, Bernard Ghanem, Motasem Alfarra:
Combating Missing Modalities in Egocentric Videos at Test Time. CoRR abs/2404.15161 (2024) - [i22]Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem:
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation. CoRR abs/2406.05222 (2024) - [i21]Kumail Alhamoud, Yasir Ghunaim, Motasem Alfarra, Thomas Hartvigsen, Philip Torr, Bernard Ghanem, Adel Bibi, Marzyeh Ghassemi:
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging. CoRR abs/2407.08822 (2024) - [i20]Gabriel Pérez S., Juan C. Pérez, Motasem Alfarra, Jesus Zarzar, Sara Rojas, Bernard Ghanem, Pablo Arbeláez:
Deep Learning at the Intersection: Certified Robustness as a Tool for 3D Vision. CoRR abs/2408.13135 (2024) - 2023
- [j3]Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem:
On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5027-5037 (2023) - [j2]Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem:
Generalizability of Adversarial Robustness Under Distribution Shifts. Trans. Mach. Learn. Res. 2023 (2023) - [c12]Juan C. Pérez, Motasem Alfarra, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem:
Towards Characterizing the Semantic Robustness of Face Recognition. CVPR Workshops 2023: 315-325 - [c11]Joachim Houyon, Anthony Cioppa, Yasir Ghunaim, Motasem Alfarra, Anaïs Halin, Maxim Henry, Bernard Ghanem, Marc Van Droogenbroeck:
Online Distillation with Continual Learning for Cyclic Domain Shifts. CVPR Workshops 2023: 2437-2446 - [c10]Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem:
Real-Time Evaluation in Online Continual Learning: A New Hope. CVPR 2023: 11888-11897 - [c9]Andrés Villa, Juan León Alcázar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem:
PIVOT: Prompting for Video Continual Learning. CVPR 2023: 24214-24223 - [i19]Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem:
Real-Time Evaluation in Online Continual Learning: A New Paradigm. CoRR abs/2302.01047 (2023) - [i18]Joachim Houyon, Anthony Cioppa, Yasir Ghunaim, Motasem Alfarra, Anaïs Halin, Maxim Henry, Bernard Ghanem, Marc Van Droogenbroeck:
Online Distillation with Continual Learning for Cyclic Domain Shifts. CoRR abs/2304.01239 (2023) - [i17]Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan C. Pérez, Zhipeng Cai, Matthias Müller, Bernard Ghanem:
Revisiting Test Time Adaptation under Online Evaluation. CoRR abs/2304.04795 (2023) - 2022
- [j1]Francisco Eiras, Motasem Alfarra, Philip H. S. Torr, M. Pawan Kumar, Puneet K. Dokania, Bernard Ghanem, Adel Bibi:
ANCER: Anisotropic Certification via Sample-wise Volume Maximization. Trans. Mach. Learn. Res. 2022 (2022) - [c8]Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem:
Combating Adversaries with Anti-adversaries. AAAI 2022: 5992-6000 - [c7]Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem:
DeformRS: Certifying Input Deformations with Randomized Smoothing. AAAI 2022: 6001-6009 - [c6]Gabriel Pérez S., Juan C. Pérez, Motasem Alfarra, Silvio Giancola, Bernard Ghanem:
3DeformRS: Certifying Spatial Deformations on Point Clouds. CVPR 2022: 15148-15158 - [c5]Motasem Alfarra, Juan C. Pérez, Anna Frühstück, Philip H. S. Torr, Peter Wonka, Bernard Ghanem:
On the Robustness of Quality Measures for GANs. ECCV (17) 2022: 18-33 - [c4]Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem:
Data dependent randomized smoothing. UAI 2022: 64-74 - [i16]Motasem Alfarra, Juan C. Pérez, Anna Frühstück, Philip H. S. Torr, Peter Wonka, Bernard Ghanem:
On the Robustness of Quality Measures for GANs. CoRR abs/2201.13019 (2022) - [i15]Juan C. Pérez, Motasem Alfarra, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem:
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition. CoRR abs/2202.04978 (2022) - [i14]Gabriel Pérez S., Juan C. Pérez, Motasem Alfarra, Silvio Giancola, Bernard Ghanem:
3DeformRS: Certifying Spatial Deformations on Point Clouds. CoRR abs/2204.05687 (2022) - [i13]Motasem Alfarra, Juan C. Pérez, Egor Shulgin, Peter Richtárik, Bernard Ghanem:
Certified Robustness in Federated Learning. CoRR abs/2206.02535 (2022) - [i12]Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem:
Generalizability of Adversarial Robustness Under Distribution Shifts. CoRR abs/2209.15042 (2022) - [i11]Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller:
SimCS: Simulation for Online Domain-Incremental Continual Segmentation. CoRR abs/2211.16234 (2022) - [i10]Andrés Villa, Juan León Alcázar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem:
PIVOT: Prompting for Video Continual Learning. CoRR abs/2212.04842 (2022) - 2021
- [c3]Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem:
Rethinking Clustering for Robustness. BMVC 2021: 38 - [c2]Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez:
Enhancing Adversarial Robustness via Test-time Transformation Ensembling. ICCVW 2021: 81-91 - [i9]Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem:
Combating Adversaries with Anti-Adversaries. CoRR abs/2103.14347 (2021) - [i8]Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem:
DeformRS: Certifying Input Deformations with Randomized Smoothing. CoRR abs/2107.00996 (2021) - [i7]Francisco Eiras, Motasem Alfarra, M. Pawan Kumar, Philip H. S. Torr, Puneet K. Dokania, Bernard Ghanem, Adel Bibi:
ANCER: Anisotropic Certification via Sample-wise Volume Maximization. CoRR abs/2107.04570 (2021) - [i6]Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez:
Enhancing Adversarial Robustness via Test-time Transformation Ensembling. CoRR abs/2107.14110 (2021) - 2020
- [c1]Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez:
Gabor Layers Enhance Network Robustness. ECCV (9) 2020: 450-466 - [i5]Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem:
On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective. CoRR abs/2002.08838 (2020) - [i4]Motasem Alfarra, Slavomír Hanzely, Alyazeed Albasyoni, Bernard Ghanem, Peter Richtárik:
Adaptive Learning of the Optimal Mini-Batch Size of SGD. CoRR abs/2005.01097 (2020) - [i3]Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem:
ClusTR: Clustering Training for Robustness. CoRR abs/2006.07682 (2020) - [i2]Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem:
Data Dependent Randomized Smoothing. CoRR abs/2012.04351 (2020)
2010 – 2019
- 2019
- [i1]Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez:
Robust Gabor Networks. CoRR abs/1912.05661 (2019)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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