Kohei Ozaki

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 192 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Artificial Intelligence — 5 citations into it

Whom Kohei Ozaki trusts overall

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

1. Kaiming He
2. Filip Radenovic
3. Andrew Zisserman
4. Ilya Loshchilov
5. Relja Arandjelovi'c
6. Jia Deng
7. Alex Krizhevsky
8. Ondřej Chum
9. Geoffrey E. Hinton
10. X. Zhang

Who trusts Kohei Ozaki overall

1. Bingyi Cao
2. Tzu-Ming Harry Hsu

Papers from Kohei Ozaki's perspective

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

Their papers

• Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset (2019) — 36 citations