Satoshi Ito

Computer Vision and Pattern Recognition · 2009–2017

A researcher in the Science corpus: 2 papers; trusts 648 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it; #16,967 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 27 citations into it; #27,819 of 35,345 by trust here, #34,213 by citations
• Aerospace Engineering — 6 citations into it

Whom Satoshi Ito trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. David G. Lowe
4. Jifeng Dai
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Bharath Hariharan
8. Jitendra Malik
9. Navneet Dalal
10. Yann LeCun

Who trusts Satoshi Ito overall

1. Jiale Cao

Papers from Satoshi Ito's perspective

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

Their papers

• BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks (2017) — 15 citations
• Co-occurrence Histograms of Oriented Gradients for Pedestrian Detection (2009) — 271 citations