F. Li

Computer Vision and Pattern Recognition · with Li · 2017

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom F. Li trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick

Papers from F. Li's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet: A large-scale hierarchical image database
  4. Going deeper with convolutions
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. ImageNet classification with deep convolutional neural networks
  7. Et al
  8. Gradient-based learning applied to document recognition
  9. Visualizing and Understanding Convolutional Networks
  10. Identity Mappings in Deep Residual Networks

Their papers