Takeshi Kurashima

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom Takeshi Kurashima trusts overall

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

1. John Krumm
2. Thomas Hofmann
3. Noah Snavely
4. Jonathan L. Herlocker
5. David J. Crandall
6. Yu Zheng
7. Fosca Giannotti
8. Evangelos Kalogerakis
9. Richard Szeliski
10. James Hays

Papers from Takeshi Kurashima's perspective

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

Their papers

• Travel route recommendation using geotags in photo sharing sites (2010) — 342 citations