Nils Einecke

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Nils Einecke trusts overall

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

  1. Daniel Scharstein
  2. Andreas Geiger
  3. Christoph Vogel
  4. Koichiro Yamaguchi
  5. Richard Szeliski
  6. Heiko Hirschmüller
  7. Raquel Urtasun
  8. Philip Lenz
  9. Konrad Schindler
  10. Tamir Hazan

Who trusts Nils Einecke overall

  1. Alex Kendall
  2. Nikolaus Mayer
  3. Hayk Martirosyan
  4. Eddy Ilg
  5. Wenjie Luo
  6. Saumitro Dasgupta

Papers from Nils Einecke's perspective

Ordered by how strongly the researchers Nils Einecke 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers