Seong Tae Kim

Computer Vision and Pattern Recognition · 2001–2019

A researcher in the Science corpus: 3 papers; trusts 122 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Seong Tae Kim trusts overall

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

  1. Karen Simonyan
  2. Andrew Zisserman
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Olaf Ronneberger
  7. Kaiming He
  8. Chin-Yew Lin
  9. Ilya Sutskever
  10. Yoshua Bengio

Who trusts Seong Tae Kim overall

  1. Alina Jade Barnett
  2. Amitojdeep Singh

Papers from Seong Tae Kim's perspective

Ordered by how strongly the researchers Seong Tae 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers