Kohei Shiraga

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Biomedical Engineering — 9 citations into it

Whom Kohei Shiraga trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Khalid Bashir
4. L. Eon Bottou
5. Vinod Nair
6. Ilya Sutskever
7. Zongyi Joe Liu
8. Sudeep Sarkar
9. Nitish Srivastava
10. Ju Han

Who trusts Kohei Shiraga overall

1. Beibei Lin
2. Lishan Qiao
3. Hanqing Chao
4. Noriko Takemura
5. Shunli Zhang
6. Songcan Chen
7. Yiwei He

Papers from Kohei Shiraga's perspective

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

Their papers

• GEINet: View-invariant gait recognition using a convolutional neural network (2016) — 417 citations