Seong-Ho Choi

Computer Vision and Pattern Recognition · 2000–2018

A researcher in the Science corpus: 6 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Seong-Ho Choi trusts overall

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

  1. Karen Simonyan

Who trusts Seong-Ho Choi overall

  1. K. Tan

Papers from Seong-Ho Choi's perspective

Ordered by how strongly the researchers Seong-Ho Choi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers