Kentaro Takemoto

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Artificial Intelligence — 17 citations into it
• Model Architectures — 5 citations into it

Whom Kentaro Takemoto trusts overall

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

1. Kaiming He
2. Michalis K. Titsias
3. Geoffrey E. Hinton
4. Lisa Anne Hendricks
5. Alex Krizhevsky
6. Du Tran
7. Karen Simonyan
8. Ross B. Girshick
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Kentaro Takemoto overall

1. Ilia Stepin
2. Raha Moraffah

Papers from Kentaro Takemoto's perspective

Ordered by how strongly the researchers Kentaro Takemoto 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Multimodal Explanations by Predicting Counterfactuality in Videos (2018) — 43 citations