Won-Dong Jang

Computer Vision and Pattern Recognition · with Kim · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 717 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Won-Dong Jang trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Matthew D. Zeiler
  6. Christian Szegedy
  7. Andrew Zisserman
  8. Yann LeCun
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Won-Dong Jang overall

  1. Zheng Lin
  2. Xi Chen
  3. Konstantin Sofiiuk
  4. J. Liew
  5. Theodora Kontogianni
  6. Qin Liu
  7. Marco Forte
  8. Zhiyan Zhao
  9. Shiyin Zhang
  10. Scott D. Cohen

Papers from Won-Dong Jang's perspective

Ordered by how strongly the researchers Won-Dong Jang 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. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers