Ryosuke Araki

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Generative Models — 18 citations into it

Whom Ryosuke Araki trusts overall

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

1. Geoffrey E. Hinton
2. Alec Radford
3. Kaiming He
4. Ian J. Goodfellow
5. Christian Szegedy
6. Diederik P. Kingma
7. Yoshua Bengio
8. Tim Salimans
9. Alex Krizhevsky
10. Yann LeCun

Who trusts Ryosuke Araki overall

1. Miaoyun Zhao

Papers from Ryosuke Araki's perspective

Ordered by how strongly the researchers Ryosuke Araki trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. GENERATIVE ADVERSARIAL NETS
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection (2019) — 100 citations
• GAN-based synthetic brain MR image generation (2018) — 360 citations