Yi Wu

Computer Vision and Pattern Recognition · with Zhao · 2017

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Wu trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He

Papers from Yi Wu's perspective

Ordered by how strongly the researchers Yi Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Microsoft COCO: Common Objects in Context
  5. Histograms of oriented gradients for human detection
  6. Et al
  7. Gradient-based learning applied to document recognition
  8. Object Detection with Discriminatively Trained Part Based Models
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers