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Computer Vision Engineer Interview Questions
735 computer vision engineer interview questions shared by candidates
asked about solutions to coding test, data structures, unit tests, video analytics experience etc.
"Why is the gradient of the bias usually more stable than that of the weights?"
They asked me about CNNs
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 are the object detection algorithms?
What is HoG? Explain it.
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
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