Computer Vision Researcher
il y a 5 jours
Internship opportunities at Prophesee
Prophesee
Founded by pioneers in neuromorphic vision, Prophesee develops computer vision sensors and systems for various applications. Our sensor technology is inspired by biological eyes, acquiring visual information efficiently. Prophesee's disruptive vision sensor technology overthrows traditional paradigms of frame-based vision acquisition.
This is a great opportunity to join a dynamic company and an exciting team, leading a paradigm shift in computer vision across many industries.
Event-based technology
Prophesee designs and produces bio-inspired cameras that are free from the concept of images. They capture information asynchronously when needed, resulting in an extremely sparse output. These bio-inspired cameras enable real-time treatment of information at a kHz frequency or more.
Internship position description
We are looking for passionate interns who demonstrate initiative, take ownership of project work, and exhibit a strong spirit of innovation. The ideal candidate is a curious and creative individual keen on problem-solving with prior experience in C++/Python programming and exposure to Computer Vision/Image Processing/Artificial Intelligence/Machine Learning domains.
She/He will work in a mixed team of scientists and engineers to design, develop, and optimize solutions to research problems. Her/His main contribution will be in creating innovative bio-inspired computer vision algorithms for specific tasks across many applications.
Main required skills
- Excellent programming skills in C++ and/or Python
- Engineering background in Computer Science, Mathematics, or related field
- Prior experience in projects involving algorithmic design, 3D vision, machine learning, numerical optimization, etc.
- Software development, implementation, architecture, optimization, testing, porting on embedded platforms, etc.
- Development operations, source code versioning, continuous integration & deployment, cloud computing, system administration, etc.
R&D
Event-based Transformers
Visual Transformers (ViT) have become the predominant deep learning architecture for many computer vision tasks. Following this trend, recently ViT architectures have been adapted and applied to event-based data. However, it is not clear what is the best way to apply ViT to event data or how to train it.
Goal of this internship
The goal of this internship is to explore self-supervised training strategies for ViT on fundamental event-vision tasks.
Project steps
- Review of the state-of-the-art for ViT
- Development of a ViT architecture for event-based data
- Validation of the proposed solution on real-world datasets and comparison with Prophesee internal solutions
Benefits
Salary package: 80% SMIC (9.32 €/h)
Meal vouchers: 9 €/working day (Swile card)
Working hours: 35h/week
Office location: Paris Bastille (74 rue du Faubourg Saint Antoine 75012)
Other benefits: CSE
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