Martin Humenberger

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 282 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Humenberger trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. David G. Lowe
  4. Jianguo Zhang
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Piotr Doll'ar
  8. C. Lawrence Zitnick
  9. Yann LeCun
  10. Karen Simonyan

Who trusts Martin Humenberger overall

  1. Haofei Xu
  2. Vincent Leroy

Papers from Martin Humenberger's perspective

Ordered by how strongly the researchers Martin Humenberger 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. ImageNet Large Scale Visual Recognition Challenge
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers