Chanyoung Kim

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chanyoung Kim trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Karol J. Piczak (in Computer Vision and Pattern Recognition)
  3. Leslie N. Smith (in Artificial Intelligence)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Eli Shechtman (in Computer Vision and Pattern Recognition)
  8. Timo Aila (in Computer Vision and Pattern Recognition)
  9. Samuli Laine (in Computer Vision and Pattern Recognition)
  10. Andrea Vedaldi (in Computer Vision and Pattern Recognition)

Papers from Chanyoung Kim's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Et al
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers