Suguru Yasutomi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Suguru Yasutomi trusts overall

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

1. Vijay Badrinarayanan
2. Pascal Vincent
3. Radford M. Neal
4. Alex Kendall
5. Hugo Larochelle
6. Yoshua Bengio
7. Alison Noble
8. Roberto Cipolla

Papers from Suguru Yasutomi's perspective

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

Their papers

• Shadow Detection for Ultrasound Images Using Unlabeled Data and Synthetic Shadows (2019) — 14 citations