基本信息
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职业迁徙
个人简介
Computer Vision Researcher at SPORTLOGiQ, applying machine learning and computer vision to sports analytics. I have been modelling and training deep learning systems for computer vision for the past 6 years, with 9 published articles, including top tier venues such as CVPR and IEEE Transactions on Information Forensic and Security.
I obtained my Ph.D. from ÉTS Montreal in 2019. My research was focused on the biometric task of Offline Handwritten Signature Verification. I also have a master's in Computer Science, in which I explored Deep Learning models for Texture Classification. I participated in the 2017 and 2018 NIPS competition on adversarial attacks/defenses, and my team got 1st place on the "Untargeted attacks" track in the 2018 edition. I also participated in two editions of the Deep Learning Summer School organized by the MILA lab (in 2015 and 2016).
I obtained my Ph.D. from ÉTS Montreal in 2019. My research was focused on the biometric task of Offline Handwritten Signature Verification. I also have a master's in Computer Science, in which I explored Deep Learning models for Texture Classification. I participated in the 2017 and 2018 NIPS competition on adversarial attacks/defenses, and my team got 1st place on the "Untargeted attacks" track in the 2018 edition. I also participated in two editions of the Deep Learning Summer School organized by the MILA lab (in 2015 and 2016).
研究兴趣
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Abdallah Dib,Luiz Gustavo Hafemann, Emeline Got, Trevor Anderson, Amin Fadaeinejad, Rafael M. O. Cruz, Marc-Andre Carbonneau
CoRR (2023)
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The NeurIPS'18 Competitionpp.129-153, (2020)
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IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2020): 1735-1745
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