Ji-Won Baek

Computer Vision and Pattern Recognition · 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 Ji-Won Baek 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

Papers from Ji-Won Baek's perspective

Ordered by how strongly the researchers Ji-Won Baek 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. Going deeper with convolutions
  6. Learning Multiple Layers of Features from Tiny Images
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers