Hyoukjun Kwon

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 189 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hyoukjun Kwon trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Ilya Sutskever
  6. Yu-hsin Chen
  7. Yann LeCun
  8. Karen Simonyan
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Hyoukjun Kwon overall

  1. Sheng-Chun Kao
  2. Tushar Krishna
  3. Udit Gupta
  4. Angshuman Parashar
  5. Prasanth Chatarasi

Papers from Hyoukjun Kwon's perspective

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

Their papers