Rei Kawakami

Computer Vision and Pattern Recognition · 2011–2018

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 30 citations into it
• Computational Mechanics — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Rei Kawakami trusts overall

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

1. Justin K. Romberg
2. Geoffrey E. Hinton
3. Alfred Marcel Bruckstein
4. Nirmal Keshava
5. Yann LeCun
6. Alex Krizhevsky
7. Karen Simonyan
8. Nanning Zheng
9. Yoshua Bengio
10. Bruno Aiazzi

Who trusts Rei Kawakami overall

1. Renwei Dian
2. Boaz Arad
3. Tingxian Wang
4. Weisheng Dong
5. Leyuan Fang
6. Ohad Ben-Shahar
7. Shutao Li

Papers from Rei Kawakami's perspective

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

Their papers

• High-resolution hyperspectral imaging via matrix factorization (2011) — 335 citations
• Classification-Reconstruction Learning for Open-Set Recognition (2018) — 393 citations