André Peter Kelm

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 169 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom André Peter Kelm trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Gedas Bertasius
  5. Ilya Sutskever
  6. Karen Simonyan
  7. Ross B. Girshick
  8. Philipp Krahenbuhl
  9. Andrew Zisserman
  10. Yoshua Bengio

Papers from André Peter Kelm's perspective

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

Their papers