Hongsheng Yuan

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongsheng Yuan trusts overall

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

  1. Joseph Redmon
  2. Suchet Bargoti
  3. Gao Huang

Papers from Hongsheng Yuan's perspective

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

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

Their papers