Ricardo Matsumura de Araújo

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 87 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Artificial Intelligence — 5 citations into it

Whom Ricardo Matsumura de Araújo trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Ross B. Girshick
5. Ilya Sutskever
6. Christian Szegedy
7. Yoshua Bengio
8. Nitish Srivastava
9. Yangqing Jia
10. Jeff Donahue

Papers from Ricardo Matsumura de Araújo's perspective

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

Their papers

• On the Performance of GoogLeNet and AlexNet Applied to Sketches (2016) — 339 citations