Tian Pu

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tian Pu trusts overall

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

  1. Landan Zhang
  2. Kaiming He
  3. Yimian Dai

Papers from Tian Pu's perspective

Ordered by how strongly the researchers Tian Pu 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. Non-local Neural Networks
  3. Feature Pyramid Networks for Object Detection
  4. ImageNet classification with deep convolutional neural networks
  5. Squeeze-and-Excitation Networks
  6. Going deeper with convolutions
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers