Chang-Su Kim

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

A researcher in the Science corpus: 3 papers; trusts 713 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Chang-Su Kim trusts overall

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

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

Who trusts Chang-Su Kim overall

  1. Feifan Lv
  2. Zheng Lin
  3. Xi Chen
  4. Xiaojie Guo
  5. Wenhan Yang
  6. Konstantin Sofiiuk
  7. Yonghua Zhang
  8. J. Liew
  9. Yu Li
  10. Theodora Kontogianni

Papers from Chang-Su Kim's perspective

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

Their papers