Akikazu Takeuchi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 83 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #13,677 of 21,575 by trust here, #14,478 by citations
• Evaluation & Benchmarks — 9 citations into it; #2,468 of 3,147 by trust here, #2,482 by citations
• Artificial Intelligence — 8 citations into it; #22,040 of 35,345 by trust here, #21,878 by citations
• Natural Language Processing — 8 citations into it
• Multimodal Learning — 7 citations into it; #777 of 1,211 by trust here, #984 by citations

Whom Akikazu Takeuchi trusts overall

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

1. Chin-Yew Lin
2. Andrej Karpathy
3. Oriol Vinyals
4. Tsung-Yi Lin
5. Geoffrey E. Hinton
6. Jeff Donahue
7. Ramakrishna Vedantam
8. Alex Krizhevsky
9. Li Fei-Fei
10. Kaiming He

Who trusts Akikazu Takeuchi overall

1. Dietrich Klakow
2. Aditya Mogadala
3. Marimuthu Kalimuthu
4. Jingjing Liu
5. Linjie Li
6. Shuohang Wang

Papers from Akikazu Takeuchi's perspective

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

Their papers

• STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset (2017) — 129 citations