Jörg H. Kappes

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Jörg H. Kappes trusts overall

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

  1. Vladimir Kolmogorov
  2. Sebastian Nowozin
  3. Carsten Rother
  4. Nikos Komodakis
  5. Yuri Boykov
  6. Björn Andres
  7. Marina Meila
  8. Geoffrey E. Hinton
  9. Thorsten Beier
  10. Ramin Zabih

Who trusts Jörg H. Kappes overall

  1. Evgeny Levinkov
  2. Thorsten Beier
  3. Thorben Kröger
  4. Alexander Kirillov
  5. Siyu Tang
  6. Bjoern Andres

Papers from Jörg H. Kappes's perspective

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

Their papers