Nakamasa Inoue

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #17,655 of 21,575 by trust here, #19,766 by citations
• Artificial Intelligence — 8 citations into it; #29,040 of 35,345 by trust here, #31,361 by citations
• Human-Computer Interaction — 8 citations into it
• Biomedical Engineering — 5 citations into it

Whom Nakamasa Inoue trusts overall

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

1. Xiaodong Yang
2. Sunil K. Narang
3. Ronald R. Coifman
4. Omar Oreifej
5. Jiang Wang
6. Zicheng Liu
7. Mark Crovella
8. Wanqing Li
9. Lu Xia
10. David K. Hammond

Who trusts Nakamasa Inoue overall

1. Liliana Lo Presti

Papers from Nakamasa Inoue's perspective

Ordered by how strongly the researchers Nakamasa Inoue 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Histograms of oriented gradients for human detection
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Spectral Graph Skeletons for 3D Action Recognition (2014) — 45 citations