Sanghoon Jun

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sanghoon Jun trusts overall

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

  1. Geoffrey E. Hinton
  2. Dan Claudiu Ciresan
  3. Yann LeCun
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Lijuan Cao
  7. Ilya Sutskever
  8. J. Urgen Schmidhuber
  9. Kaiming He
  10. Diederik P. Kingma

Who trusts Sanghoon Jun overall

  1. Fang Liu

Papers from Sanghoon Jun's perspective

Ordered by how strongly the researchers Sanghoon Jun trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers