Do you want to create technology for the next generation of industry and society? Univrses is now looking for a Master Thesis student to join the team in Stockholm!
Univrses is a 3D Computer Vision and Machine Learning company based in Stockholm, creating high-end technologies for autonomous systems. We work in several different areas, but our main focus is on self-driving vehicles, mobile robotics and smart city development. Our team consists of hard-working and friendly people from all over the world with diverse backgrounds and expert knowledge in computer vision, robotics, machine learning, physics, math, software development and more.
Right now, we offer Master students the opportunity to be an integral part of the team while working on their Thesis. You will be working in a fun, stimulating and highly professional work environment together with our awesome team. This is truly a unique chance to work with some of the best scientists and engineers in Computer Vision and Robotics in the world.
Finding correspondences between two images is a fundamental building block of many computer vision applications like camera tracking and 3D mapping. The most common approach to image matching relies on sparse interest points that are matched using high-dimensional representations encoding their local visual appearance. Reliably describing each point is challenging in conditions that exhibit symmetries, weak texture, or appearance changes due to varying viewpoints and lighting. To reject outliers that arise from occlusion and missing points, such representations should also be discriminative. This yields two conflicting objectives, robustness, and uniqueness, that are hard to satisfy.
To address these limitations, SuperGlue introduced a new paradigm – a deep network that considers both images at the same time to jointly match sparse points and reject outliers. It leverages the powerful Transformer model to learn to match challenging image pairs from large datasets.
Univrses need to uniquely identify features across several images captured from different viewpoints and with different lighting/seasons.
The primary objectives of this research are as follows:
Easily test different image-matching solutions here: Image Matching Webui - a Hugging Face Space by Realcat
Applicants are expected to possess a comprehensive understanding of deep learning and computer vision, which will be essential for engaging with the research effectively.
Proficiency in Python coding is a prerequisite for implementing and experimenting with the proposed techniques.
Required application material
All application material must be in English.
The work is supposed to start in January 2024
Interested in joining Univrses as our new Master Thesis student? Submit your application - All application material must be in English!
This job comes with several perks and benefits
Enjoy a free catered lunch with your colleagues, every day.
Time is precious. Make it count. Morning person or night owl, this job is for you.
Get your caffeine fix to get you started and keep you going.
Easy access and treehugger friendly workplace.
Social gatherings and games; hang out with your colleagues.
Peckish after lunch? We got your back with soft drinks, treats and fruit.