Research teams

CRIM puts at your disposal four highly qualified teams of experts.

Advanced Software Modeling and Development

Advanced Software Modeling and Development

The Advanced Software Modeling and Development team of CRIM specializes in the development of methods and prototype tools to help system and distributed software designers improve the quality and security of their products while decreasing development time.
Emerging Technologies and Data Science

Emerging Technologies and Data Science

The Emerging Technologies and Data Science team develops and maintains a cutting-edge expertise, particularly in the areas of the Web, mobile technology, advanced analytics, Big Data and the development of collaborative platforms. The team’s mandates are mainly geared towards the development of customized technologies, in collaborative mode.
Speech and Text

Speech and Text

The Speech and Text team at CRIM offers various services for data processing and interpretation in fields such as real-time closed-captioning, exploitation of large datasets, multimedia indexing, information protection, audio signal analysis and segmentation, voice biometrics and natural language processing.
Vision and Imaging

Vision and Imaging

The Vision and Imagery team specializes in the digital analysis and processing of visual information arising from various sources. It develops algorithms and customized software solutions for any type of control, tracking, exploration, recognition or diagnosis application that requires automated handling and interpretation of visual data in images or videos.

Recent news

  • 8D Technologies Reinvents the Urban Landscape
    15/11/2017

    To succeed, you have to know how to deal with whatever is thrown at you. If you react well, with a glass-half-full attitude, you’ll always see the opportunity in front of you...

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Upcoming event

  • MEGA 2017
    19 November 2017 0:00
    Marché Bonsecours (Montréal)
    Montreal Exo Gaming Arcade November 18-19 2017.
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Recent Publications

  • PeopleBot

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  • Face Recognition in Video Surveillance from a Single Reference Sample Through Domain Adaptation

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