Kai Berger

Computer Vision and Pattern Recognition · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Berger trusts overall

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

  1. Jürgen Sturm
  2. Kevin Lai
  3. Nathan Silberman
  4. Jaeyong Sung
  5. Nikolas Engelhard
  6. Derek Hoiem
  7. Liefeng Bo
  8. Xiaofeng Ren
  9. Colin Ponce
  10. Firat Özdemir

Who trusts Kai Berger overall

  1. Michael Firman
  2. Djamila Romaissa Beddiar

Papers from Kai Berger's perspective

Ordered by how strongly the researchers Kai Berger 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. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers