Joerg Liebelt

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 188 researchers here, as inferred from the citation graph.

Subfields

Whom Joerg Liebelt trusts overall

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

  1. Navneet Dalal
  2. Ondřej Chum
  3. Andrew Zisserman
  4. Till Quack
  5. Bill Triggs
  6. David G. Lowe
  7. Pedro F. Felzenszwalb
  8. Vittorio Ferrari
  9. Svetlana Lazebnik
  10. Cordelia Schmid

Who trusts Joerg Liebelt overall

  1. Michael Stark
  2. Hao Su
  3. Liang-Chieh Chen
  4. Xingchao Peng
  5. Stefan Hinterstoißer
  6. Bernt Schiele
  7. Jia Deng
  8. Baochen Sun
  9. M. Zia
  10. Bojan Pepik

Papers from Joerg Liebelt's perspective

Ordered by how strongly the researchers Joerg Liebelt 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Histograms of oriented gradients for human detection
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers