Kaichiro Nishi

Computer Vision and Pattern Recognition · 2017

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 — 15 citations into it

Whom Kaichiro Nishi trusts overall

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

1. Carsten Rother
2. Vladimir Kolmogorov
3. Andrew Blake
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Deva Ramanan
7. Pedro F. Felzenszwalb

Papers from Kaichiro Nishi's perspective

Ordered by how strongly the researchers Kaichiro Nishi 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Generation of human depth images with body part labels for complex human pose recognition (2017) — 32 citations