Donghun Yeo

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 228 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Donghun Yeo trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Alex Krizhevsky
  6. Andrew Zisserman
  7. Ross B. Girshick
  8. Yoshua Bengio
  9. Yann LeCun
  10. Evan Shelhamer

Who trusts Donghun Yeo overall

  1. Jiwoon Ahn
  2. Nikita Araslanov
  3. Jun Shu
  4. Guolei Sun
  5. Andrea Maracani
  6. Tong Shen

Papers from Donghun Yeo's perspective

Ordered by how strongly the researchers Donghun Yeo 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. 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. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers