Li Li

Computer Vision and Pattern Recognition · with Xie · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 132 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Li Li trusts overall

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

  1. David G. Lowe
  2. Christopher Evans
  3. Matthew A. Brown
  4. Yuri Boykov
  5. Takeo Igarashi
  6. Scott Schaefer
  7. Ross B. Girshick
  8. Kaiming He
  9. Geoffrey E. Hinton
  10. L. Eon Bottou

Papers from Li Li's perspective

Ordered by how strongly the researchers Li Li 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers