Ying Hung

Computer Vision and Pattern Recognition · with Feris · 2020

A researcher in the Science corpus: 1 paper; trusts 295 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Hung trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Yoshua Bengio
  8. Jitendra Malik
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Ying Hung overall

  1. Minghan Li
  2. Dongfang Liu
  3. Ting-Li Chen

Papers from Ying Hung's perspective

Ordered by how strongly the researchers Ying Hung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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