Yanqing Yao

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yanqing Yao trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He

Papers from Yanqing Yao's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. ImageNet classification with deep convolutional neural networks
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Mask R-CNN
  6. Gradient-based learning applied to document recognition
  7. Fast R-CNN
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers