Wonhui Kim

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 126 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wonhui Kim trusts overall

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

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

Papers from Wonhui Kim's perspective

Ordered by how strongly the researchers Wonhui Kim 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. ImageNet Large Scale Visual Recognition Challenge
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers