Pengchuan Xiao

Computer Vision and Pattern Recognition · 2021

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

Subfields

Whom Pengchuan Xiao trusts overall

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

  1. Jianguo Zhang
  2. Shaoshuai Shi
  3. Andreas Geiger
  4. Mark Everingham
  5. Liang-Chieh Chen
  6. Kaiming He
  7. Sourabh Vora
  8. Ross B. Girshick
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Who trusts Pengchuan Xiao overall

  1. Wei Yin
  2. Ze Yang

Papers from Pengchuan Xiao's perspective

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

Their papers