Soon Ki Jung

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 217 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Soon Ki Jung trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Thierry Bouwmans
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Christian Szegedy
  7. Robert Tibshirani
  8. Yoshua Bengio
  9. E.J. Candes
  10. Diederik P. Kingma

Papers from Soon Ki Jung's perspective

Ordered by how strongly the researchers Soon Ki 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers