Min-Cheol Sagong

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 239 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Min-Cheol Sagong trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alexei A. Efros
  5. Ilya Sutskever
  6. Kaiming He
  7. Individualized Treat
  8. Yoshua Bengio
  9. Yann LeCun
  10. Sepp Hochreiter

Who trusts Min-Cheol Sagong overall

  1. Yong-Goo Shin
  2. Omar ElHarrouss

Papers from Min-Cheol Sagong's perspective

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

Their papers