Motasem Alfarra

According to our database, Motasem Alfarra authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SimCS: Simulation for Domain Incremental Online Continual Segmentation.

Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective.

Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Revisiting Test Time Adaptation under Online Evaluation.

Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan C. Pérez, Zhipeng Cai, Matthias Müller, Bernard Ghanem

CoRR, 2023

Real-Time Evaluation in Online Continual Learning: A New Paradigm.

Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem

CoRR, 2023

PIVOT: Prompting for Video Continual Learning.

Andrés Villa, Juan León Alcázar, Motasem Alfarra, Kumail Alhamoud, Julio Hurtado, Fabian Caba Heilbron, Alvaro Soto, Bernard Ghanem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Characterizing the Semantic Robustness of Face Recognition.

Juan C. Pérez, Motasem Alfarra, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Online Distillation with Continual Learning for Cyclic Domain Shifts.

Joachim Houyon, Anthony Cioppa, Yasir Ghunaim, Motasem Alfarra, Anaïs Halin, Maxim Henry, Bernard Ghanem, Marc Van Droogenbroeck

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Real-Time Evaluation in Online Continual Learning: A New Hope.

Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ANCER: Anisotropic Certification via Sample-wise Volume Maximization.

Francisco Eiras, Motasem Alfarra, Philip H. S. Torr, M. Pawan Kumar, Puneet K. Dokania, Bernard Ghanem, Adel Bibi

Trans. Mach. Learn. Res., 2022

SimCS: Simulation for Online Domain-Incremental Continual Segmentation.

Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller

CoRR, 2022

Generalizability of Adversarial Robustness Under Distribution Shifts.

Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem

CoRR, 2022

Certified Robustness in Federated Learning.

Motasem Alfarra, Juan C. Pérez, Egor Shulgin, Peter Richtárik, Bernard Ghanem

CoRR, 2022

Towards Assessing and Characterizing the Semantic Robustness of Face Recognition.

Juan C. Pérez, Motasem Alfarra, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem

CoRR, 2022

Data dependent randomized smoothing.

Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem

Proceedings of the Uncertainty in Artificial Intelligence, 2022

On the Robustness of Quality Measures for GANs.

Motasem Alfarra, Juan C. Pérez, Anna Frühstück, Philip H. S. Torr, Peter Wonka, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2022, 2022

3DeformRS: Certifying Spatial Deformations on Point Clouds.

Gabriel Pérez S., Juan C. Pérez, Motasem Alfarra, Silvio Giancola, Bernard Ghanem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Combating Adversaries with Anti-adversaries.

Motasem Alfarra, Juan C. Pérez, Ali K. Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

DeformRS: Certifying Input Deformations with Randomized Smoothing.

Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Enhancing Adversarial Robustness via Test-time Transformation Ensembling.

Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Rethinking Clustering for Robustness.

Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

ClusTR: Clustering Training for Robustness.

Motasem Alfarra, Juan C. Pérez, Adel Bibi, Ali K. Thabet, Pablo Arbeláez, Bernard Ghanem

CoRR, 2020

Adaptive Learning of the Optimal Mini-Batch Size of SGD.

Motasem Alfarra, Slavomír Hanzely, Alyazeed Albasyoni, Bernard Ghanem, Peter Richtárik

CoRR, 2020

On the Decision Boundaries of Deep Neural Networks: A Tropical Geometry Perspective.

Motasem Alfarra, Adel Bibi, Hasan Hammoud, Mohamed Gaafar, Bernard Ghanem

CoRR, 2020

Gabor Layers Enhance Network Robustness.

Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Robust Gabor Networks.

Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali K. Thabet, Bernard Ghanem, Pablo Arbeláez

CoRR, 2019