Kayee K. Hanaoka

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 54 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #16,597 of 21,575 by trust here, #17,757 by citations
• Signal Processing — 9 citations into it
• Evaluation & Benchmarks — 5 citations into it; #2,406 of 3,147 by trust here, #2,853 by citations
• Model Architectures — 5 citations into it

Whom Kayee K. Hanaoka trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Florian Schroff
3. Gary B. Huang
4. Karen Simonyan
5. X. Zhang
6. Andrew Zisserman
7. Shaoqing Ren
8. Geoffrey E. Hinton
9. Alex Krizhevsky

Who trusts Kayee K. Hanaoka overall

1. Stepan Alekseevich Komkov

Papers from Kayee K. Hanaoka's perspective

Ordered by how strongly the researchers Kayee K. Hanaoka trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Ongoing face recognition vendor test (FRVT) part 2: (2018) — 109 citations
• Face Recognition Vendor Test (FRVT) part 2 :: identification (2019) — 85 citations