H. T. Kung

Computer Vision and Pattern Recognition · 1982–2018

A researcher in the Science corpus: 6 papers; trusts 334 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

Whom H. T. Kung trusts overall

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

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

Who trusts H. T. Kung overall

  1. Haichuan Yang
  2. A. Adamatzky
  3. Taesik Na
  4. Yuhao Zhu
  5. Gaurav Menghani
  6. Sun-Yuan Kung
  7. Chao-Kai Wen
  8. Ji Xin
  9. Jong Hwan Ko
  10. Ji Liu

Papers from H. T. Kung's perspective

Ordered by how strongly the researchers H. T. Kung 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers