Integration of geometric cues within deep learning techniques - Naver Labs Europe
preloder
NAVER LABS Europe
    Published
    8 October 2019
    Location
    Meylan, France
    Job Type
    Start date
    February 2020 - earlier starting date is also possible.
    Duration
    5-6 months

    Description

    Euclidean and projective geometry are at the foundation of computer vision. They represent key components of many state-of-the-art computer vision techniques, e.g. for 3D reconstruction or camera localization.

     

    Learning-based methods such as Convolutional Neural Networks are achieving impressive results, and aim to replace an explicit modeling of the underlying structure of data by training. Part of their success however lies in the inclusion within their architecture of an explicit prior of equivariance to translations, through the use of convolutions.

     

    We are looking for an intern to help us investigate how additional geometric priors could be used to improve the efficiency of machine learning techniques, in the field of computer vision.
    Possible axes of work may include experiments using RGB-D data or multiview setups, as well as some more theoretical contributions.

    Optional skills

    Experience of Python and of a deep learning framework (PyTorch) would be appreciated.

    Application instructions

    Please note that applicants must be registered students at a university or other academic institution and that this establishment will need to sign an 'Internship Convention' with NAVER LABS Europe before the student is accepted.

    You can apply for this position online. Don't forget to upload your CV and cover letter before you submit. Incomplete applications will not be accepted.

    About NAVER LABS

    NAVER LABS is a world class team of self-motivated and highly engaged researchers, engineers and interface designers collaborating together to create next generation ambient intelligence technology and services that are rich with the organic understanding they have of users, their contexts and situations.

    Since 2013 LABS has led NAVER’s innovation in technology through products such as the AI-based translation app ‘Papago’, the omni-tasking web browser ‘Whale’, the virtual AI assistant ‘WAVE’, in-vehicle information entertainment system ‘AWAY’ and M1, the 3D indoor mapping robot.

    The team in Europe is multidisciplinary and extremely multicultural specializing in artificial intelligence, machine learning, computer vision, natural language processing, UX and ethnography. We collaborate with many partners in the European scientific community on R&D projects.

    NAVER LABS Europe is located in the south east of France in Grenoble. The notoriety of Grenoble comes from its exceptional natural environment and scientific ecosystem with 21,000 jobs in public and private research. It is home to 1 of the 4 French national institutes in AI called MIAI (Multidisciplinary Innovation in Ai) It has a large student community (over 62,000 students) and is a lively and cosmopolitan place, offering a host of leisure opportunities. Grenoble is close to both the Swiss and Italian borders and is the ideal place for skiing, hiking, climbing, hang gliding and all types of mountain sports.

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