Daigo Muramatsu

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Biomedical Engineering — 16 citations into it
• Human-Computer Interaction — 8 citations into it

Whom Daigo Muramatsu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yasushi Makihara
4. Ju Han
5. Khalid Bashir
6. L. Eon Bottou
7. Ilya Sutskever
8. Haruyuki Iwama
9. Vinod Nair
10. Zongyi Joe Liu

Who trusts Daigo Muramatsu overall

1. Hanqing Chao

Papers from Daigo Muramatsu's perspective

Ordered by how strongly the researchers Daigo Muramatsu 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. Dropout: a simple way to prevent neural networks from overfitting
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Rectified Linear Units Improve Restricted Boltzmann Machines
9. Attention is All you Need (Neural Information Processing Systems)
10. A Fast Learning Algorithm for Deep Belief Nets

Their papers

• GEINet: View-invariant gait recognition using a convolutional neural network (2016) — 417 citations
• Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition (2018) — 458 citations