Akira Fukui

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 112 researchers and is trusted by 340 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it; #2,206 of 21,575 by trust here, #2,570 by citations
• Artificial Intelligence — 35 citations into it; #4,867 of 35,345 by trust here, #3,400 by citations
• Natural Language Processing — 16 citations into it

Whom Akira Fukui trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ross B. Girshick
5. Yoshua Bengio
6. Diederik P. Kingma
7. Ilya Sutskever
8. Richard Socher
9. Yann LeCun
10. Jia Deng

Who trusts Akira Fukui overall

1. Kushal Kafle
2. Zhou Yu
3. Damien Teney
4. Ronghang Hu
5. Dacheng Tao
6. Christopher Kanan
7. Peng Gao
8. Zhe Gan
9. Qi Wu
10. Youngjae Yu

Papers from Akira Fukui's perspective

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

Their papers

• Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding (2016) — 1,594 citations