Michiel Schaap

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it

Whom Michiel Schaap trusts overall

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

1. Karen Simonyan
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Kaiming He
5. Dzmitry Bahdanau
6. Ross B. Girshick
7. Andrew Zisserman
8. Alex Krizhevsky
9. Joes Staal

Who trusts Michiel Schaap overall

1. Punam Kumar Saha
2. Yaolei Qi

Papers from Michiel Schaap's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images (2018) — 1,840 citations
• Standardized Evaluation Methodology and Reference Database for Evaluating Coronary Artery Centerline Extraction Algorithms (2009) — 406 citations