Nathan P. Koenig

Computer Vision and Pattern Recognition · 2004–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Nathan P. Koenig trusts overall

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

  1. Dieter Fox
  2. Iwan Ulrich
  3. Johann Borenstein
  4. Brian P. Gerkey

Who trusts Nathan P. Koenig overall

  1. Sergey I. Nikolenko
  2. Weichao Qiu
  3. Melonee Wise
  4. Henri Rebecq
  5. Lei Tai
  6. Wenshuai Zhao
  7. Victor Talpaert
  8. Sajad Saeedi
  9. Steve Macenski
  10. Xinle Liang

Papers from Nathan P. Koenig's perspective

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

Their papers