Sungha Choi

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 178 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sungha Choi trusts overall

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

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

Who trusts Sungha Choi overall

  1. Lei Huang

Papers from Sungha Choi's perspective

Ordered by how strongly the researchers Sungha Choi 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers