Kun-Hsuan Wu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Kun-Hsuan Wu trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Jia Deng
  4. Jimmy Ba
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Andrew Zisserman
  8. Yoshua Bengio
  9. Oriol Vinyals
  10. K. Soomro

Who trusts Kun-Hsuan Wu overall

  1. Daxin Jiang
  2. Linjun Shou
  3. Ming Gong
  4. Wutao Lin

Papers from Kun-Hsuan Wu's perspective

Ordered by how strongly the researchers Kun-Hsuan Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Distilling the Knowledge in a Neural Network (arXiv.org)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers