Sang Ho Yoon

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sang Ho Yoon trusts overall

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

  1. Tero Karras

Papers from Sang Ho Yoon's perspective

Ordered by how strongly the researchers Sang Ho Yoon 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. Et al
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers