Naoki Kato

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 218 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #11,294 of 21,575 by trust here, #16,367 by citations
• Artificial Intelligence — 19 citations into it; #17,992 of 35,345 by trust here, #25,040 by citations
• Representation & Self-Supervised Learning — 7 citations into it
• Meta & Continual Learning — 6 citations into it

Whom Naoki Kato trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Richard Socher
7. George A. Miller
8. Ross B. Girshick
9. Evan Shelhamer
10. Andrew Zisserman

Who trusts Naoki Kato overall

1. S. Gadre
2. Ping Hu
3. Mitchell Wortsman
4. Conghui Hu
5. Mengde Xu
6. Chong Zhou
7. Gabriel Ilharco
8. Stan Sclaroff
9. Ludwig Schmidt
10. Da Li

Papers from Naoki Kato's perspective

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

Their papers

• Zero-Shot Semantic Segmentation via Variational Mapping (2019) — 55 citations