Tilman Wekel

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 145 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tilman Wekel trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. David G. Lowe
  4. Yann LeCun
  5. Nitish Srivastava
  6. Ross B. Girshick
  7. Ilya Sutskever
  8. Kaiming He
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Tilman Wekel overall

  1. Pierre Sermanet
  2. Carl Doersch

Papers from Tilman Wekel's perspective

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

Their papers