Keechul Jung

Computer Vision and Pattern Recognition · 2002–2004

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Keechul Jung trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Huiping Li
  3. Thomas M. Cover
  4. Matthew A. Turk
  5. Kah Kay Sung
  6. C. Burges
  7. David S. Doermann
  8. Dorin Comaniciu
  9. Guo-qing Guo
  10. K. Müller

Who trusts Keechul Jung overall

  1. Cong Yao
  2. Qixiang Ye
  3. Chucai Yi
  4. Shangbang Long
  5. Xiang Bai
  6. Weilin Huang
  7. Barbara Caputo
  8. Yuliang Liu
  9. Eric Hayman
  10. Yingli Tian

Papers from Keechul Jung's perspective

Ordered by how strongly the researchers Keechul Jung 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers