Masato Takami

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it

Whom Masato Takami trusts overall

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

1. Navneet Dalal
2. Ariadna Quattoni
3. Svetlana Lazebnik
4. Megha Pandey
5. Antonio Torralba
6. Geoffrey E. Hinton
7. Mark Everingham
8. Alex Krizhevsky
9. Jitendra Malik
10. Andrew Zisserman

Papers from Masato Takami's perspective

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

Their papers

• Randomized Max-Margin Compositions for Visual Recognition (2014) — 20 citations