Takashi Miyazaki

Computer Vision and Pattern Recognition · 2008–2018

A researcher in the Science corpus: 2 papers; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 10 citations into it
• Multimodal Learning — 9 citations into it
• Natural Language Processing — 8 citations into it

Whom Takashi Miyazaki trusts overall

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

1. Karen Simonyan
2. Kunihiko Fukushima
3. Yann LeCun
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Mateusz Malinowski
7. Alex Krizhevsky
8. Yoshua Bengio
9. Kaiming He
10. Diederik P. Kingma

Papers from Takashi Miyazaki's perspective

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

Their papers

• Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps (2018) — 41 citations
• Protein Synthesis and Neurotrophin-Dependent Structural Plasticity of Single Dendritic Spines (2008) — 654 citations