Zhiqiang Tao

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 639 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Zhiqiang Tao trusts overall

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

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

Who trusts Zhiqiang Tao overall

  1. Yu Kong
  2. Xionghui Wang
  3. Riccardo Del Chiaro

Papers from Zhiqiang Tao's perspective

Ordered by how strongly the researchers Zhiqiang Tao 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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