Rudolf Mester

Computer Vision and Pattern Recognition · 2006–2020

A researcher in the Science corpus: 4 papers; trusts 470 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Rudolf Mester trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Tero Karras
  8. Yann LeCun
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Rudolf Mester overall

  1. Min Bai

Papers from Rudolf Mester's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers