Arvind Satyanarayan
Computer Vision and Pattern Recognition · 2016–2021
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 47 citations into it; #16,046 of 21,575 by trust here, #15,955 by citations
- Artificial Intelligence — 43 citations into it
- Molecular Biology — 6 citations into it
- Sociology and Political Science — 6 citations into it
Whom Arvind Satyanarayan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hadley Wickham
- Jeffrey Heer
- Ji Soo Yi
- Kanit Wongsuphasawat
- Michael Bostock
- Jock D. Mackinlay
- John T. Stasko
- Chris Stolte
- Youn Ah Kang
- Philip J. Guo
Who trusts Arvind Satyanarayan overall
- Kanit Wongsuphasawat
- Dominik Moritz
- Tongshuang Sherry Wu
- Emery D. Berger
- Zening Qu
- Michael Terry
- Sam Stern
- Jeffrey Heer
Papers from Arvind Satyanarayan's perspective
Ordered by how strongly the researchers Arvind Satyanarayan trusts endorse each paper. Same corpus, a different order for every researcher.
- The Grammar of Graphics
- Polaris: a system for query, analysis and visualization of multi-dimensional relational databases (IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings)
- Automating the design of graphical presentations of relational information
- Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations (IEEE Transactions on Visualization and Computer Graphics)
- A Layered Grammar of Graphics
- Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization (IEEE Transactions on Visualization and Computer Graphics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Toward a Deeper Understanding of the Role of Interaction in Information Visualization (IEEE Transactions on Visualization and Computer Graphics)
- ImageNet classification with deep convolutional neural networks
Their papers
- The Building Blocks of Interpretability (2018) — 735 citations
- Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative (2021) — 94 citations
- Vega-Lite: A Grammar of Interactive Graphics (2018) — 982 citations
- Reactive Vega: A Streaming Dataflow Architecture for Declarative Interactive Visualization (2016) — 319 citations