they ask about Academic Projects
Computer Vision Interview Questions
1,049 computer vision interview questions shared by candidates
General interview and technical interview included questions on classic computer vision algorithms: homography, RANSAC, sift, etc. The technical interview included questions on detecting outliers, regression and statistics
Questions related to deep learning frameworks like ResNet etc.
what is your contribution in your team?
What are the object detection algorithms?
What is HoG? Explain it.
What relevant projects have you tackled with regards to the position that you are applying for?
Mostly standard pre-prepared questions. Very little directly enquiring about me as a candidate, and I would guess that several of the interviewers hadn't even looked at my CV. Coding tests included coding on image processing algorithms relevant to the role.
SLAM ; python sorting basics, efficent optimization, OOP basics; morphology, Global co-ordinate estimation from camera coordinate , etc. vanishing points, camera extrensic , camera intrinsics , SURF , point descriptors; fundamental matrix essential matrix; deep learning , machine learning ; bundle algorithms
Cannot disclose the questions asked.
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