Chul Min Yeum

Computer Vision and Pattern Recognition · 2015

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

Subfields

Whom Chul Min Yeum trusts overall

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

  1. John F. Canny
  2. Paul A. Viola
  3. Aaron Clauset
  4. Ming Yang
  5. David G. Lowe
  6. Jerome H. Friedman
  7. Michael J. Jones
  8. Mark Newman
  9. Navneet Dalal
  10. Kpalma Kidiyo

Who trusts Chul Min Yeum overall

  1. Xiao Liang
  2. Young-Jin Cha
  3. Yuqing Gao
  4. M. Rafiei
  5. Billie F. Spencer Jr.

Papers from Chul Min Yeum's perspective

Ordered by how strongly the researchers Chul Min Yeum 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. Distinctive Image Features from Scale-Invariant Keypoints
  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. Histograms of oriented gradients for human detection
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers