Changhee Han

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Changhee Han trusts overall

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

  1. Geoffrey E. Hinton
  2. Alec Radford
  3. Diederik P. Kingma
  4. Kaiming He
  5. Christian Szegedy
  6. Ian J. Goodfellow
  7. Alex Krizhevsky
  8. Sergey Ioffe
  9. Yoshua Bengio
  10. Tim Salimans

Who trusts Changhee Han overall

  1. Miaoyun Zhao
  2. Yulai Cong
  3. Sergey I. Nikolenko
  4. Xin Yi
  5. Lawrence Carin

Papers from Changhee Han's perspective

Ordered by how strongly the researchers Changhee Han 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers