How is convolution on images performed? How can it be done for large kernels and large images?
Computer Vision Researcher Interview Questions
276 computer vision researcher interview questions shared by candidates
What loss functions can be used for classification, segmentation, regression?
Differences between transfer learning model and why you select them? How are the models being optimised? Explain how deep learning is being trained? What is the loss function in deep learning training? Explain forward and backward propagation? Explain your final year project in more detailed? Explain how a software can crash? Some convolution formula, what does it represents How many lines of code you written? Some calculus and integration questions Maths question, Problem solving, Technical test, syntax
What is a 2d convolution?
3)what did you do during your last internship ?
2)are you creative or not and why?
1. Self introduction, previous 3d project 2. Ask how would I design their face identification algorithm. Seems they would like to implement a face identification algorithm operating on the phone.
Code a NeRF, what method should I use if I have a monocular video and want to render in real time novel view in an outdoor scene and things are moving.
If the multiplication operator (*) is not present in C, how would you multiply a number by 7? Describe what happens if you use "delete this" in C++?
2. On the zoom interview - Design a colorization model (given a grayscale image, predict its color).
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