Xiao Zeng

Computer Vision and Pattern Recognition · with Zhang · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 268 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao Zeng trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Andrew Zisserman
  10. Ronald J. Williams

Who trusts Xiao Zeng overall

  1. Chaoyun Zhang
  2. Yiwen Han
  3. Zhi Zhou
  4. Samuel Horváth

Papers from Xiao Zeng's perspective

Ordered by how strongly the researchers Xiao Zeng 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. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers