Hirotoshi Kitamura

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 13 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Hirotoshi Kitamura trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Ross B. Girshick
4. Maxim Berman
5. Dong-Hyun Lee
6. Geoffrey E. Hinton
7. Ilya Loshchilov
8. Bharath Hariharan
9. Vladimir I. Iglovikov
10. Yann LeCun

Who trusts Hirotoshi Kitamura overall

1. Céline Hudelot
2. Yassine Ouali
3. Myriam Tami

Papers from Hirotoshi Kitamura's perspective

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

Their papers

• Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks (2019) — 66 citations