Takuya Narihira

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 129 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #13,139 of 21,575 by trust here, #18,266 by citations

Whom Takuya Narihira trusts overall

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

1. Pablo Arbeláez
2. Alex Krizhevsky
3. Jitendra Malik
4. David Eigen
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Kaiming He
8. Charless C. Fowlkes
9. Rob Fergus
10. Yann LeCun

Who trusts Takuya Narihira overall

1. Shu Kong
2. Xinjing Cheng
3. Sifei Liu
4. Naiyu Gao

Papers from Takuya Narihira's perspective

Ordered by how strongly the researchers Takuya Narihira 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. ImageNet: A large-scale hierarchical image database
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. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding (2015) — 70 citations