Motasem Alfarra

Motasem Alfarra

PhD Candidate - Electrical and Computer Engineering

KAUST

Biography

I am a Ph.D. candidate at KAUST in Saudi Arabia. I am part of the Image and Video Understanding Lab (IVUL) advised by Prof. Bernard Ghanem. I obtained my M.Sc degree in Electrical Engineering from KAUST, and my undergraduate degree in Electrical Engineering from Kuwait University. I am interested in continual learning and test time adaptation. Previously, I worked on assessing and enhancing network robustness and leveraging robust models for different applications. Currently, I am a research intern at Qualcomm AI Research in Amsterdam.

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Interests
  • Test Time Adaptation
  • Continual Learning
  • Adversarial Robustness
  • Computer Vision and Machine Learning
Education

  • PhD in Electrical and Computer Engineering, 2020-Present

    KAUST

  • MSc in Electrical Engineering, 2019-2020

    KAUST

  • BSc in Electrical Engineering, 2014-2018

    Kuwait University

Experience

 
 
 
 
 
Qualcomm AI Research
Research Internship
Qualcomm AI Research
May 2023 – Sep 2023 Amsterdam, Netherlands
Research internship at the federated learning team in Qualcomm AI Research.
 
 
 
 
 
Intel
Research Internship
Intel
Aug 2022 – Jan 2023 Münich, Germany
Research internship at the Embodied AI Lab at Intel supervised by Matthias Müller.
 
 
 
 
 
University of Oxford
Research Internship
University of Oxford
Oct 2021 – Feb 2022 Oxford, United Kingdom
Research visit to the Torr Vision Group (TVG) supervised by Prof. Philip Torr.
 
 
 
 
 
KAUST
Teacher Assistant
KAUST
Jan 2021 – May 2021 Saudi Arabia
I was a TA for the Ph.D course “Introduction to Computer Vision”.
 
 
 
 
 
Universidad Panamericana
Guest Lecturer
Universidad Panamericana
Jul 2020 – Jul 2020 Mexico
I gave one lecture titled “Adversarial Attacks and Network Robustness”.
 
 
 
 
 
Kuwait University
Research Assistant
Kuwait University
Jul 2017 – May 2018 Kuwait
Developed algorithms and implemented network simulations.

Recent Publications

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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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Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan C. Pérez, Zhipeng Cai, Matthias Müller, Bernard Ghanem (2023). Revisiting Test Time Adaptation under Online Evaluation. In arxiv.

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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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Motasem Alfarra, Zhipeng Cai, Adel Bibi, Bernard Ghanem, Matthias Müller (2023). SimCS: Simulation for Online Domain-Incremental Continual Segmentation. In CVPRW'23.

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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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