Frank Moosmann

Computer Vision and Pattern Recognition · 2006–2012

A researcher in the Science corpus: 4 papers; trusts 141 researchers and is trusted by 374 researchers here, as inferred from the citation graph.

Subfields

Whom Frank Moosmann trusts overall

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

  1. David G. Lowe
  2. Jianbo Shi
  3. Li Fei-Fei
  4. Jitendra Malik
  5. Rob Fergus
  6. Andrew Zisserman
  7. Jianguo Zhang
  8. Geoffrey E. Hinton
  9. Cordelia Schmid
  10. Tahir Rabbani

Who trusts Frank Moosmann overall

  1. Jasper R. R. Uijlings
  2. Gilles Louppe
  3. Victor S. Lempitsky
  4. Lorenzo Torresani
  5. Jamie Shotton
  6. Andrew Zisserman
  7. R. G. Cinbis
  8. Bo Li
  9. Bichen Wu
  10. Arnold M. W. Smeulders

Papers from Frank Moosmann's perspective

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

Their papers