Jakob Santner

Computer Vision and Pattern Recognition · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jakob Santner trusts overall

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

  1. Stephen Grossberg
  2. Shai Avidan
  3. Jianbo Shi
  4. Dorin Comaniciu
  5. Boris Babenko
  6. Mustafa Özuysal
  7. Mark Everingham
  8. Amir Saffari
  9. Simon Baker
  10. Helmut Grabner

Who trusts Jakob Santner overall

  1. Zdenek Kalal
  2. Huchuan Lu
  3. Ming-Hsuan Yang
  4. Junseok Kwon
  5. Laura Sevilla-Lara
  6. Hanxuan Yang
  7. Fan Yang
  8. Xu Jia
  9. Shu Wang
  10. Naiyan Wang

Papers from Jakob Santner's perspective

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

Their papers