Alexander Krull

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 6 papers; trusts 305 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Krull trusts overall

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

  1. David G. Lowe
  2. Jamie Shotton
  3. Sergey Ioffe
  4. Kaiming He
  5. Ross B. Girshick
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Stefan Roth
  10. Andrew Zisserman

Who trusts Alexander Krull overall

  1. Eric Brachmann
  2. Nantheera Anantrasirichai
  3. Ignasi Clavera Gilaberte
  4. Bugra Tekin
  5. Carsten Rother
  6. Yu Xiang
  7. Samuli Laine
  8. Yuhui Quan
  9. Ke Xu
  10. Tao Huang

Papers from Alexander Krull's perspective

Ordered by how strongly the researchers Alexander Krull 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers