A. Neubeck

2006

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 43 researchers here, as inferred from the citation graph.

Whom A. Neubeck trusts overall

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

  1. Krystian Mikolajczyk
  2. Tinne Tuytelaars
  3. David G. Lowe

Who trusts A. Neubeck overall

  1. Andreas Geiger
  2. Bogdan Alexe
  3. Miriam Schönbein
  4. Dominic Zeng Wang
  5. Ouais Alsharif
  6. Weilin Huang
  7. É. Marchand
  8. Tao Wang
  9. Xingkui Zhu
  10. Zhonghe Ren

Papers from A. Neubeck's perspective

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

Their papers