Jun Han

Computer Vision and Pattern Recognition · with Lombardo · 2018

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Han trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Johannes Ballé
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Yann LeCun
  7. David M. Blei
  8. Chelsea Finn
  9. George Toderici
  10. Danilo Jimenez Rezende

Who trusts Jun Han overall

  1. AmirHossein Habibian
  2. Ties van Rozendaal

Papers from Jun Han's perspective

Ordered by how strongly the researchers Jun Han 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers