Kersten Petersen

Computer Vision and Pattern Recognition · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #20,245 of 21,575 by trust here, #7,852 by citations

Whom Kersten Petersen trusts overall

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

1. Yann LeCun
2. Geoffrey E. Hinton
3. Marc'Aurelio Ranzato
4. Yoshua Bengio
5. L. Eon Bottou
6. Pierre Sermanet
7. Alex Krizhevsky
8. Quoc V. Le
9. Patrice Y. Simard
10. J. Urgen Schmidhuber

Who trusts Kersten Petersen overall

1. Mohammad Mustafa Taye
2. Holger R. Roth
3. Geert J. S. Litjens
4. Arnaud Arindra Adiyoso Setio
5. June-Goo Lee
6. Lequan Yu
7. Hao Chen
8. Seonwoo Min
9. Sarmad Shafique
10. Qi-Yan Dou

Papers from Kersten Petersen's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network (2013) — 604 citations
• Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring (2016) — 390 citations