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52 How to Do Research – Foundations of Computer Vision

visionbook.mit.edu · 1,643 words · saved by 1 readers

The jump from problem sets into research can be hard. Sometimes we see students who ace their classes but struggle with their research. In little bites, here is what we think is important for succeeding in research as a graduate student. This chapter is written as advice from a research advisor to a graduate student (so we use the first person in the text), but we hope that this advice will be useful for anyone learning how to create and debug research or engineering projects. The first piece of advice can go on a bumper sticker: “Slow down to speed up.” In classes, the world is rigged. There’s a simple correct answer and the problem is structured to let you come to that answer. You get feedback with the correct answer within a day after you submit anything. Research is different. No one tells you the right answer, and we may not know if there is a right answer. We don’t know if something doesn’t work because there’s a silly mistake in the program or because a broad set of assumptions

52 How to Do Research – Foundations of Computer Vision 52.1 Introduction The jump from problem sets into research can be hard. Sometimes we see students who ace their classes but struggle with their research. In little bites, here is what we think is important for succeeding in research as a graduate student. This chapter is written as advice from a research advisor to a graduate student (so we use the first person in the text), but we hope that this advice will be useful for anyone learning how to create and debug research or engineering projects. 52.2 Research Advice The first piece of advic

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