The coding questions are quite simple. Research questions are about multi-view geometry, such as fundamental/essential matrix and deep learning basics (resnet, loss function, kernel size, pooling, dropout, batch norm, etc.). Generally the questions are not so difficult.
Computer Vision Researcher Interview Questions
66 computer vision researcher interview questions shared by candidates
the two types of human pose estimation approach
Why do you want to work here?
1- Generate a list of Random Objects that each rand object generates a different sequence coming from the same set of values.
Computer Vision Assignment or Leetcode style skills assessment
Questions about classification and object detection
epipolar geometry and machine learning optimization based on resume
Coding interview was leetcode style.
* General Knowledge in CV * Task Spesific Knowledge and Case Study
Median Leetcode question, meaning that they don't have a specific expectation of skill set that the candidate should possess, other than logic and general algorithm on Leetcode.
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