Kentaro Yokoi

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 8 citations into it

Whom Kentaro Yokoi trusts overall

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

1. David G. Lowe
2. Navneet Dalal
3. Krystian Mikolajczyk
4. Thorsten Joachims
5. Cordelia Schmid
6. Constantine Papageorgiou
7. Corinna Cortes
8. Paul A. Viola
9. Bill Triggs
10. Stefan Munder

Papers from Kentaro Yokoi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Histograms of oriented gradients for human detection
4. Distinctive Image Features from Scale-Invariant Keypoints
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Co-occurrence Histograms of Oriented Gradients for Pedestrian Detection (2009) — 271 citations