Justin Ker

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 106 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it
• Artificial Intelligence — 46 citations into it
• Model Architectures — 11 citations into it
• Media Technology — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Justin Ker trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Kaiming He
4. Yoshua Bengio
5. Alex Krizhevsky
6. Karen Simonyan
7. Diederik P. Kingma
8. Ilya Sutskever
9. Christian Szegedy
10. Paul Smolensky

Who trusts Justin Ker overall

1. Lahiru Jayasinghe
2. Laurent Valentin Jospin
3. Satya Prakash Singh
4. T. Ozturk
5. Sweta Bhattacharya
6. Nipun Wijerathne
7. Wray L. Buntine

Papers from Justin Ker's perspective

Ordered by how strongly the researchers Justin Ker 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• Deep Learning Applications in Medical Image Analysis (2018) — 1,242 citations