Zhigang Tu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhigang Tu trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Sepp Hochreiter
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Jimmy Ba
  9. Yann LeCun
  10. J. Urgen Schmidhuber

Papers from Zhigang Tu's perspective

Ordered by how strongly the researchers Zhigang Tu 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers