Sean Foley
Information Systems · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 106 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 23 citations into it; #6,282 of 8,771 by trust here, #3,540 by citations
- Computer Vision and Pattern Recognition — 20 citations into it
- Artificial Intelligence — 15 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Sean Foley trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicolas Christin
- Ross B. Girshick
- Kaiming He
- Piotr Doll'ar
- T. Wang
- Tsung-Yi Lin
- Alex Krizhevsky
- Geoffrey E. Hinton
- Daniel Bolya
- Andrew Zisserman
Who trusts Sean Foley overall
Papers from Sean Foley's perspective
Ordered by how strongly the researchers Sean Foley trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- TIDE: A General Toolbox for Identifying Object Detection Errors (2020) — 283 citations
- How investible is Bitcoin? Analyzing the liquidity and transaction costs of Bitcoin markets (2018) — 194 citations
- Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed through Cryptocurrencies? (2019) — 817 citations