Unsang Park

Computer Vision and Pattern Recognition · 2010–2011

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Unsang Park trusts overall

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

  1. David G. Lowe
  2. Narayanan Ramanathan
  3. Krystian Mikolajczyk
  4. Volker Blanz
  5. Paul A. Viola
  6. Navneet Dalal
  7. Karl Ricanek Jr.
  8. Andreas Lanitis
  9. L. Mašek
  10. Xin Geng

Who trusts Unsang Park overall

  1. Bor-Chun Chen
  2. Chu-Song Chen
  3. Winston H. Hsu

Papers from Unsang Park's perspective

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

Their papers