Amar Ali-bey

Ph.D. in Computer Vision and Machine Learning

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Montréal, QC, Canada

amar.alibey # gmail.com

I am a dedicated computer scientist passionate about Computer Vision. During my Ph.D. at Université Laval in Canada, I focused on developing advanced neural network architectures for Visual Place Recognition and collecting large-scale datasets to train them.

Prior to my doctoral studies, I majored in Software Engineering, where I developed a solid foundation in Problem Solving, Algorithms, and Combinatorial Optimization.

Selected publications

  1. cvpr.jpg
    BoQ: A Place is Worth a Bag of Learnable Queries
    Amar Ali-bey, Brahim Chaib-draa, and Philippe Giguère
    In CVPR, 2024
  2. wacv.png
    MixVPR: Feature Mixing for Visual Place Recognition
    Amar Ali-bey, Brahim Chaib-draa, and Philippe Giguère
    In WACV, 2023
  3. neuro.jpeg
    GSV-Cities: Toward Appropriate Supervised Visual Place Recognition
    Amar Ali-bey, Brahim Chaib-draa, and Philippe Giguère
    Neurocomputing, 2022
  4. bmvc.png
    Global Proxy-based Hard Mining for Visual Place Recognition
    Amar Ali-Bey, Brahim Chaib-draa, and Philippe Giguere
    In BMVC, 2022