Tomoki Watanabe

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 Tomoki Watanabe 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. Constantine Papageorgiou
6. Cordelia Schmid
7. Corinna Cortes
8. Paul A. Viola
9. Bill Triggs
10. Stefan Munder

Papers from Tomoki Watanabe's perspective

Ordered by how strongly the researchers Tomoki Watanabe 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

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