Peter Eisert

Computer Vision and Pattern Recognition · 2006–2022

A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Eisert trusts overall

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

  1. Christian Szegedy
  2. Karen Simonyan
  3. Ian J. Goodfellow
  4. Diederik P. Kingma
  5. Davis E. King
  6. Geoffrey E. Hinton

Papers from Peter Eisert's perspective

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

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

Their papers