Jan Bandouch

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jan Bandouch trusts overall

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

  1. Jonathan A. J. Deutscher
  2. John MacCormick
  3. Leonid Sigal
  4. Moritz Tenorth
  5. Dana Kulic

Who trusts Jan Bandouch overall

  1. Angela Yao
  2. Juergen Gall
  3. Fei Han
  4. Abdalrahman Eweiwi
  5. Mathieu Barnachon
  6. Luc Van Gool

Papers from Jan Bandouch's perspective

Ordered by how strongly the researchers Jan Bandouch 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. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Recognizing human actions: a local SVM approach
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers