Kaori Togashi

Computer Vision and Pattern Recognition · 2005–2018

A researcher in the Science corpus: 2 papers; trusts 101 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 23 citations into it
• Model Architectures — 12 citations into it
• Optimization & Training — 8 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Kaori Togashi trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Karen Simonyan
5. Christian Szegedy
6. Ilya Sutskever
7. Yoshua Bengio
8. Shaoqing Ren
9. Yann LeCun
10. Matthew D. Zeiler

Papers from Kaori Togashi's perspective

Ordered by how strongly the researchers Kaori Togashi 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. ImageNet Large Scale Visual Recognition Challenge
4. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
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

• Convolutional neural networks: an overview and application in radiology (2018) — 4,045 citations
• Thyroid gland tumor diagnosis at US elastography. (2005) — 664 citations