Takaaki Tagawa

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 177 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #16,099 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 13 citations into it; #29,697 of 35,345 by trust here, #18,186 by citations
• Optimization & Training — 6 citations into it

Whom Takaaki Tagawa trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Tsung-Yi Lin
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Piotr Doll'ar
7. Yann LeCun
8. Shaoqing Ren
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Takaaki Tagawa overall

1. Liang-Chieh Chen

Papers from Takaaki Tagawa's perspective

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

Their papers

• Learning to Fuse Things and Stuff (2018) — 104 citations