Seon Joo Kim

Computer Vision and Pattern Recognition · 2007–2021

A researcher in the Science corpus: 8 papers; trusts 1,052 researchers and is trusted by 110 researchers here, as inferred from the citation graph.

Subfields

Whom Seon Joo Kim trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. David G. Lowe
  10. Christian Szegedy

Who trusts Seon Joo Kim overall

  1. Ho Kei Cheng
  2. Chunwei Tian
  3. Paul Voigtlaender
  4. Wenguan Wang
  5. Joon-Young Lee
  6. Zongxin Yang
  7. Seonguk Seo
  8. Chung-Ching Lin
  9. Xintao Wang
  10. Julio Zaragoza

Papers from Seon Joo Kim's perspective

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

Their papers