Yujiro Furukawa

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 Yujiro Furukawa trusts overall

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

1. Geoffrey E. Hinton
2. Alec Radford
3. Kaiming He

Who trusts Yujiro Furukawa overall

1. Miaoyun Zhao

Papers from Yujiro Furukawa's perspective

Ordered by how strongly the researchers Yujiro Furukawa 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. GENERATIVE ADVERSARIAL NETS
3. ImageNet classification with deep convolutional neural networks
4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Improved Techniques for Training GANs
7. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

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