Tae Hyun Kim

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 311 researchers and is trusted by 72 researchers here, as inferred from the citation graph.

Subfields

Whom Tae Hyun Kim trusts overall

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

  1. Anat Levin
  2. Kaiming He
  3. Li Xu
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. X. Zhang
  7. Andrew Zisserman
  8. Alex Krizhevsky
  9. Oliver Whyte
  10. Sundaresh Ram

Who trusts Tae Hyun Kim overall

  1. Jiawei Zhang
  2. Shangchen Zhou
  3. Hongyun Gao
  4. Jin-shan Pan
  5. Syed Waqas Zamir
  6. Xin Tao
  7. Ziyi Shen
  8. Kyoung Mu Lee
  9. Kaihao Zhang
  10. Jian Sun

Papers from Tae Hyun Kim's perspective

Ordered by how strongly the researchers Tae Hyun Kim 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  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