Taein Kwon

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 228 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Taein Kwon trusts overall

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

  1. Andrew Zisserman
  2. Kaiming He
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Yoshua Bengio
  10. David G. Lowe

Who trusts Taein Kwon overall

  1. Fadime Sener
  2. Yunze Liu

Papers from Taein Kwon's perspective

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

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

Their papers