Edson Takashi Matsubara

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 127 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 92 citations into it
• Artificial Intelligence — 53 citations into it

Whom Edson Takashi Matsubara trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Karen Simonyan
6. Yoshua Bengio
7. Yann LeCun
8. Christian Szegedy
9. Andrew Zisserman

Papers from Edson Takashi Matsubara's perspective

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

Their papers

• A Review on Deep Learning in UAV Remote Sensing (2021) — 471 citations