Yusuke Niitani

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 77 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 10 citations into it

Whom Yusuke Niitani trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Tsung-Yi Lin
4. Shaoqing Ren
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Jia Deng
8. Yann LeCun
9. Yoshua Bengio
10. X. Zhang

Who trusts Yusuke Niitani overall

1. Xinyu Zhang
2. Han Zhang

Papers from Yusuke Niitani's perspective

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

Their papers

• Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects (2018) — 46 citations