Norman Kerle

Computer Vision and Pattern Recognition · 2011–2022

A researcher in the Science corpus: 6 papers; trusts 200 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Norman Kerle trusts overall

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

  1. Thomas Blaschke
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Gary King
  5. Alex Krizhevsky
  6. Andrea S. Laliberte
  7. Robert Martin Haralick
  8. Yoshua Bengio
  9. Jimmy Ba
  10. Leo Breiman

Who trusts Norman Kerle overall

  1. Gong Cheng
  2. Seyed Amir Naghibi
  3. Bahareh Kalantar
  4. Junwei Han

Papers from Norman Kerle's perspective

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

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

Their papers