Xingyu Jiang

Computer Vision and Pattern Recognition · Information Fusion · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 803 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Xingyu Jiang trusts overall

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

  1. David G. Lowe
  2. Andrew Zisserman
  3. Geoffrey E. Hinton
  4. Krystian Mikolajczyk
  5. Alex Krizhevsky
  6. Kaiming He
  7. Yann LeCun
  8. Yoshua Bengio
  9. Cordelia Schmid
  10. Diederik P. Kingma

Who trusts Xingyu Jiang overall

  1. Vincent Leroy

Papers from Xingyu Jiang's perspective

Ordered by how strongly the researchers Xingyu Jiang 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. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers