Seungju Han

Artificial Intelligence · with Choi · 2020–2024

A researcher in the Science corpus: 3 papers; trusts 48 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. Diederik P. Kingma
  3. Ross B. Girshick
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Radford M. Neal
  7. Karen Simonyan
  8. Yoshua Bengio
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Seungju Han overall

  1. Edresson Casanova
  2. Xu Tan

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. 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers