Sung-Jea Ko

Computer Vision and Pattern Recognition · with Kim · 2007–2019

A researcher in the Science corpus: 4 papers; trusts 564 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sung-Jea Ko trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Yann LeCun
  9. Ilya Sutskever
  10. Christian Szegedy

Papers from Sung-Jea Ko's perspective

Ordered by how strongly the researchers Sung-Jea Ko 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers