Youngmin Park

Computer Vision and Pattern Recognition · 2008

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Youngmin Park trusts overall

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

  1. David G. Lowe
  2. Vincent Lepetit
  3. Pascal Fua
  4. Georg S. W. Klein
  5. Mustafa Özuysal
  6. Herbert Bay
  7. Luca Vacchetti
  8. Francesc Moreno-Noguer
  9. David William Murray
  10. Tinne Tuytelaars

Who trusts Youngmin Park overall

  1. Zetong Yang
  2. Yin Zhou

Papers from Youngmin Park's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Histograms of oriented gradients for human detection

Their papers