Kristian Hildebrand

Computer Vision and Pattern Recognition · 2009–2012

A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Kristian Hildebrand trusts overall

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

  1. David G. Lowe
  2. John F. Canny
  3. Josef Sivic
  4. Andrew Zisserman
  5. Herv'e J'egou
  6. Justin Zobel
  7. Aude Oliva
  8. Antonio Torralba
  9. Eric Nowak
  10. Tilke Judd

Who trusts Kristian Hildebrand overall

  1. Ming-Ming Cheng
  2. Rui Hu
  3. Mathias Eitz
  4. Xingchao Peng
  5. Taesung Park
  6. Abhinav Shrivastava
  7. Qing Liu
  8. Niloy J. Mitra
  9. Aditay Tripathi
  10. Xing Sun

Papers from Kristian Hildebrand's perspective

Ordered by how strongly the researchers Kristian Hildebrand trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Histograms of oriented gradients for human detection
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers