Hongmin Shao

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongmin Shao trusts overall

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

  1. Joseph Redmon
  2. Kaiming He
  3. Alex Krizhevsky
  4. Ross B. Girshick

Papers from Hongmin Shao's perspective

Ordered by how strongly the researchers Hongmin Shao 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers