Dear deep-based computer vision company,
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First off, I'd like to stress that Student is fully autonomous. He is not at all remotely operated, or even semi-autonomous. As a company that uses deep learning, I'm sure you can understand the significance of this.
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Further, Student not only got perfect scores on many tough assignments, but came up with new solutions to problems that I haven't encountered before in my research. I can definitely see them coming up with new solutions at your company too, and I look forward to seeing what they will make there.
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An example of his creativity was a solution he made for an object tracking group project, which he led. First, he scaled the image down and ran a CNN over that, then scaled it back up, translated the position to the scaled up image, and used cross hairs scanning up/down and left/right along the object and its bounds to match the image histogram with the center of the scaled down image. This method was combined with another that used a video transformer with variable input size to predict where the input would be in the next frame, as well as a simpler method of approximating the trajectory of the object by matching it to a kinematic equation. All of these were combined into a DNN that used PPO to determine the best combination of outputs over time. It was quite complex, but it got the best results by far.
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If you employ him at your company, I'm sure he'll continue to come up with great solutions like that.
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Best Regards,
Teacher in Computer Vision
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