Hongyu Li

Computer Vision and Pattern Recognition · with Shen · 2014

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Hongyu Li trusts overall

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

  1. A. Bovik

Who trusts Hongyu Li overall

  1. Ke Gu
  2. Jongyoo Kim

Papers from Hongyu Li's perspective

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

  1. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Going deeper with convolutions
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers