Junghwan Cho

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junghwan Cho trusts overall

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

  1. Karen Simonyan
  2. Matthew D. Zeiler
  3. Yangqing Jia
  4. Christian Szegedy
  5. Andrew Zisserman
  6. Rob Fergus
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Holger R. Roth

Who trusts Junghwan Cho overall

  1. Ibrahim M. Alabdulmohsin
  2. Mark Johnson
  3. Behnam Neyshabur
  4. Mohammad Amin Morid
  5. Peter Anderson

Papers from Junghwan Cho's perspective

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

Their papers