Seong-Gon Kong

Computer Vision and Pattern Recognition · 2005–2007

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Seong-Gon Kong 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

Who trusts Seong-Gon Kong overall

  1. Serkan Kiranyaz
  2. Turker Ince
  3. Can Ye
  4. Saeed Saadatnejad
  5. Mohamad Mahmoud Al Rahhal
  6. Moncef Gabbouj

Papers from Seong-Gon Kong's perspective

Ordered by how strongly the researchers Seong-Gon Kong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers