Princeton University
Luc Van GoolProfessor Emeritus · ETH ZürichResearcher↗
Researcher · Academic
Fisher Yu
ETH ZürichAssistant Professor
Yu helped develop image-recognition methods that preserve fine detail while using wider visual context.[1] His work includes dilated convolutions and Deep Layer Aggregation, which combines information across network layers.[2] He also co-created BDD100K, a dataset of 100,000 driving videos for testing how AI understands roads.[3]
Career & education
Current roleETH Zürich2020-presentAssistant Professor
ETH Zürich2020-presentPreviously
UC Berkeley2017-2019Posdoc
UC Berkeley2017-2019Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations74,905As of Oct 23, '26
citations+4,654Since last snapshot, Jun 15, '26
References
- Multi-Scale Context Aggregation by Dilated Convolutionsarxiv.org
Yu helped develop image-recognition methods that preserve fine detail while using wider visual context.
- Deep Layer Aggregationarxiv.org
His work includes dilated convolutions and Deep Layer Aggregation, which combines information across network layers.
- BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learningarxiv.org
He also co-created BDD100K, a dataset of 100,000 driving videos for testing how AI understands roads.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 10, 2026 · Checked for accuracy and new information.
