Martin Bäuml

Computer Vision and Pattern Recognition · 2011–2015

A researcher in the Science corpus: 4 papers; trusts 239 researchers and is trusted by 244 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Bäuml trusts overall

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

  1. Lubomir D. Bourdev
  2. Andrew Zisserman
  3. Andrew C. Gallagher
  4. Josef Sivic
  5. Jitendra Malik
  6. J. Fleiss
  7. Michael Elhadad
  8. Geoffrey E. Hinton
  9. Mark Everingham
  10. Alex Krizhevsky

Who trusts Martin Bäuml overall

  1. Arsha Nagrani
  2. Omkar M. Parkhi
  3. Antoine Miech
  4. Makarand Tapaswi
  5. Piotr Bojanowski
  6. Ivan Laptev
  7. Max Bain
  8. Anna Rohrbach
  9. Tadas Baltrusaitis
  10. Andrew Zisserman

Papers from Martin Bäuml's perspective

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

Their papers