Simo Saarakkala

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom Simo Saarakkala trusts overall

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

1. Karen Simonyan
2. Andrew Zisserman

Who trusts Simo Saarakkala overall

1. Alexey A. Shvets

Papers from Simo Saarakkala's perspective

Ordered by how strongly the researchers Simo Saarakkala trusts endorse each paper. Same corpus, a different order for every researcher.

1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
2. Recurrent Models of Visual Attention
3. Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach (2017) — 574 citations