Yan-Pei Cao

Computer Vision and Pattern Recognition · with Yang · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan-Pei Cao trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  5. Jitendra Malik (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. David G. Lowe (in Computer Vision and Pattern Recognition)
  8. Deva Ramanan (in Computer Vision and Pattern Recognition)
  9. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  10. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Yan-Pei Cao's perspective

Ordered by how strongly the researchers Yan-Pei Cao 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. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Automatic differentiation in PyTorch

Their papers