Yi Xiao

Computer Vision and Pattern Recognition · with He · 2024

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Xiao trusts overall

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

  1. Kaiming He
  2. Chao Dong
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yulun Zhang
  6. Zhou Wang
  7. Ross B. Girshick
  8. Diederik P. Kingma
  9. Anish Mittal
  10. A. Bovik

Papers from Yi Xiao's perspective

Ordered by how strongly the researchers Yi Xiao 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. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers