Einoshin Suzuki

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 321 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #9,199 of 21,575 by trust here, #10,500 by citations
• Artificial Intelligence — 15 citations into it; #24,324 of 35,345 by trust here, #34,943 by citations
• Biomedical Engineering — 14 citations into it
• Human-Computer Interaction — 6 citations into it

Whom Einoshin Suzuki trusts overall

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

1. Ivan Laptev
2. Rui Zhao
3. Michael S. Ryoo
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Piotr Doll'ar
7. Kaiming He
8. Ilya Sutskever
9. Ross B. Girshick
10. Karen Simonyan

Who trusts Einoshin Suzuki overall

1. Liang Zheng
2. Zhedong Zheng
3. Fei Han
4. Mang Ye

Papers from Einoshin Suzuki's perspective

Ordered by how strongly the researchers Einoshin Suzuki 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. 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. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Hierarchical Gaussian Descriptor for Person Re-identification (2016) — 579 citations
• Classifying actions based on histogram of oriented velocity vectors (2015) — 31 citations