Changil Kim

Computer Vision and Pattern Recognition · 2013–2021

A researcher in the Science corpus: 5 papers; trusts 237 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Changil Kim trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Yoshua Bengio
  6. Yann LeCun
  7. Jimmy Ba
  8. William T. Freeman
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Changil Kim overall

  1. Yasutaka Furukawa
  2. Gaochang Wu
  3. Carlos Hernández

Papers from Changil Kim's perspective

Ordered by how strongly the researchers Changil Kim 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers