Teja Kattenborn

Nature and Landscape Conservation · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Teja Kattenborn trusts overall

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

  1. Susan L. Ustin
  2. George Alan Blackburn
  3. S. Pierce
  4. W. Verhoef
  5. John A. Gamon
  6. J. P. Grime
  7. Jean-Baptiste F'eret
  8. Guerric le Maire
  9. Ross B. Girshick
  10. Scott V. Ollinger

Papers from Teja Kattenborn's perspective

Ordered by how strongly the researchers Teja Kattenborn 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers