Hyung Jin Chang

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 5 papers; trusts 321 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Hyung Jin Chang trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ilya Sutskever
  8. Kaiming He
  9. Alexei A. Efros
  10. Jimmy Ba

Who trusts Hyung Jin Chang overall

  1. Markus Oberweger
  2. Gyeongsik Moon
  3. Graham W. Taylor
  4. Tianyu Yang
  5. Adrian Spurr
  6. Alana de Santana Correia
  7. Qianru Ye
  8. Liuhao Ge
  9. Petr Kellnhofer
  10. Xiao Sun

Papers from Hyung Jin Chang's perspective

Ordered by how strongly the researchers Hyung Jin Chang 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. Long Short-Term Memory
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers