Kyung-ah Sohn

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 5 papers; trusts 556 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Kyung-ah Sohn trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Chao Dong
  9. Jiwon Kim
  10. Yann LeCun

Who trusts Kyung-ah Sohn overall

  1. Radu Timofte
  2. Andreas Lugmayr
  3. Saeed Anwar
  4. Zhihao Wang
  5. Jinjin Gu
  6. Wanjie Sun

Papers from Kyung-ah Sohn's perspective

Ordered by how strongly the researchers Kyung-ah Sohn 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