Jingu Heo

Computer Vision and Pattern Recognition · 2005

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingu Heo trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Yuhai Wu
  3. R. Fisher
  4. Chengjun Liu
  5. Yoav Freund
  6. Paul A. Viola
  7. Matthew A. Turk
  8. Kah Kay Sung
  9. Bernhard Schölkopf
  10. Baback Moghaddam

Papers from Jingu Heo's perspective

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

  1. The Nature of Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Neural network-based face detection
  7. ImageNet: A large-scale hierarchical image database
  8. A decision-theoretic generalization of on-line learning and an application to boosting
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Eigenfaces for Recognition

Their papers