Lecture: Are We (Still!) Not Giving Data Enough Credit?

Alexei Efros

For most of its existence, Visual Computing has been primarily focused on algorithms, with data treated largely as an afterthought. Only recently, with the advances in AI, did the field start to truly appreciate the singularly crucial role played by data, but even now we might still be underestimating it. In this talk, I will begin with some historical examples illustrating the importance of large visual data for both human and computer vision. I will then share some recent work demonstrating the power of very simple algorithms when used with the right data.

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