Internship opportunities at Prophesee
PROPHESEE
Founded by the world’s leading pioneers in the field of neuromorphic vision, Prophesee develops computer vision sensors and systems for application in all fields of artificial vision. The sensor technology is inspired by biological eyes, acquiring visual information in an extremely performing yet highly efficient way. Prophesee’s disruptive vision sensor technology entirely overthrows the established paradigms of frame-based vision acquisition currently used everywhere in computer vision.
This is a great opportunity to join a dynamic company and an exciting team and to lead a paradigm shift in computer vision across many industries.
EVENT-BASED TECHNOLOGY
Prophesee designs and produces a new type of cameras that are bio-inspired and thus free themselves from the concept of images. They do not gather information with a fixed framerate but instead each pixel is captured asynchronously when needed. These bio-inspired cameras, also called event-based cameras or neuromorphic cameras, therefore have an extremely sparse output and enable, with appropriate algorithms, a real time treatment of the information at an equivalent frequency of a kHz or more. But since the data coming from the sensor are quite different from the images traditionally used in standard vision, Prophesee is also advancing the algorithmic and machine learning side of this new kind of machine vision. This enables our clients to build new applications in a wide range of domains, including industrial automation, connected devices, autonomous vehicles, augmented and virtual reality, and more.
INTERNSHIP POSITION DESCRIPTION
We are looking for passionate interns who demonstrate initiative, take ownership for project work, and exhibit a strong spirit of innovation. The ideal candidate is a curious and creative individual keen on problem-solving and with prior experience in C++ / Python programming and exposure to the Computer Vision / Image Processing / Artificial Intelligence / Machine Learning domains.
She/He will work in a mixed team of scientists and engineers to design, develop & 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 such as computational imaging, 3d sensing, robotics, localization, factory automation, smart devices, aerospace & defense, automotive, etc.
The main required skills common to MOST internship positions are the following (but not exclusively):
- Excellent programming skills in C++ and/or in Python
- Engineering background in Computer Science, Mathematics or related field
- Prior experience in projects involving at least one of the following domains:
- Algorithmic design, e.g. 3d vision, machine learning, numerical optimization, etc
- Software development, e.g. implementation, architecture, optimization, testing, porting on embedded platforms, etc
- Development operations, e.g. source code versioning, continuous integration & deployment, cloud computing, system administration, etc
R&D
Face Deblurring Refinement
Image quality is one of the most important feature of a modern mobile phone. Today multiple image sensors are combined to produce a single image with the best quality even in challenging environments. One of those challenges is to deal with motion blur due to the exposure duration and high speed motions. Some smartphone manufacturers have implemented a dual frame deblurring approach targeting specifically faces [1]. Motion deblurring can also be done using an additional event-based sensor [2] [3]. During this internship, the applicant will explore on improving the motion delurring by targeting specifically faces.
- Review of the state-of-the-art of deblurring and super resolution for frame-based and event-based cameras
- Implement an architecture to refine face deblurring
- Demonstrate the approach on mobile photography application
[1] Lai, W. S., Shih, Y., Chu, L. C., Wu, X., Tsai, S. F., Krainin, M., ... & Liang, C. K. (2022). Face deblurring using dual camera fusion on mobile phones. ACM Transactions on Graphics (TOG), 41(4), 1-16.
[2] Pan, L., Scheerlinck, C., Yu, X., Hartley, R., Liu, M., & Dai, Y. (2019). Bringing a blurry frame alive at high frame-rate with an event camera. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 6820-6829).
[3] Lin, M., Zhang, C., He, C., & Yu, L. (2023). Learning Parallax for Stereo Event-based Motion Deblurring. arXiv preprint arXiv:2309.09513.
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