Lecture: Efros | September 23
Are We (Still!) Not Giving Data Enough Credit?
Alexei Efros
ACM Prize in Computing 2016
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.
The 11th Heidelberg Laureate Forum took place from September 22–27, 2024. #HLF24
The Heidelberg Laureate Forum (HLF) is an annual networking conference where 200 carefully selected young researchers in mathematics and computer science spend a week interacting with the laureates of the most prestigious awards in their disciplines: the Abel Prize, ACM A.M. Turing Award, ACM Prize in Computing, Fields Medal, IMU Abacus Medal and Nevanlinna Prize.
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