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Heidelberg Laureate Forum | Lecture: Efros | September 23 @LaureateForum | Uploaded 2 weeks ago | Updated 1 hour ago
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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Lecture: Efros | September 23Laureate Dialogue: Leslie Lamport, Whitfield Diffie | September 21Interview: Maria Leptin, Volker Stollorz | September 23HLFF Shortcuts: Simon K. DonaldsonVLOG@HLF21 MondaySnapshots Friday | September 27Virtual HLF 2020 – Interviews with recent laureates7th HLF Laureate interviews: Caucher BirkarHLFF Shortcuts: Shwetak N. PatelHLFF Shortcuts: Leonard Max AdlemanVirtual HLF 2020 – ClosingVirtual HLF 2020 – Panel Discussion: Public Science Communication in Mathematics/Computer Science

Lecture: Efros | September 23 @LaureateForum

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