Michitaka Fujiwara

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it
• Artificial Intelligence — 34 citations into it
• Model Architectures — 20 citations into it
• Optimization & Training — 9 citations into it

Whom Michitaka Fujiwara trusts overall

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

1. Christian Szegedy
2. Sergey Ioffe
3. Kaiming He
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Ross B. Girshick
8. Yoshua Bengio
9. Yann LeCun
10. Liang-Chieh Chen

Papers from Michitaka Fujiwara's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Self-supervised learning for medical image analysis using image context restoration (2019) — 580 citations
• An application of cascaded 3D fully convolutional networks for medical image segmentation (2018) — 295 citations
• DRINet for Medical Image Segmentation (2018) — 301 citations