Yasutaka Narazaki

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 196 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Civil and Structural Engineering — 23 citations into it; #3,169 of 6,160 by trust here, #4,288 by citations
• Artificial Intelligence — 13 citations into it
• Media Technology — 11 citations into it
• Mechanical Engineering — 7 citations into it
• Environmental Engineering — 6 citations into it

Whom Yasutaka Narazaki trusts overall

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

1. Kaiming He
2. Radford M. Neal
3. Young-Jin Cha
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Yann LeCun
7. Alex Krizhevsky
8. Shaoqing Ren
9. Yoshua Bengio
10. Richard Szeliski

Who trusts Yasutaka Narazaki overall

1. Yuequan Bao

Papers from Yasutaka Narazaki's perspective

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

Their papers

• Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring (2019) — 1,033 citations