Kang Gu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kang Gu trusts overall

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

  1. Kaiming He
  2. Rui Zhao
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Dzmitry Bahdanau
  7. Yann LeCun
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Diederik P. Kingma

Who trusts Kang Gu overall

  1. Mang Ye

Papers from Kang Gu's perspective

Ordered by how strongly the researchers Kang Gu 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers