Seungju Han

Computer Vision and Pattern Recognition · with Baek · 2021

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seungju Han trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Dan Hendrycks
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Karen Simonyan
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Seungju Han overall

  1. Minchul Kim

Papers from Seungju Han's perspective

Ordered by how strongly the researchers Seungju 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. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Going deeper with convolutions
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers