Peng Xu

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

A researcher in the Science corpus: 2 papers; trusts 184 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Xu trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Kaiming He
  5. David G. Lowe
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Yann LeCun
  10. Ross B. Girshick

Who trusts Peng Xu overall

  1. Ayan Kumar Bhunia
  2. Aneeshan Sain
  3. John Philip Collomosse
  4. Tu Bui
  5. Tao A. Xiang
  6. Leo Sampaio Ferraz Ribeiro
  7. Yi-Zhe Song
  8. Subhadeep Koley
  9. P. Xu
  10. Yongxin Yang

Papers from Peng Xu's perspective

Ordered by how strongly the researchers Peng Xu 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers