Guoxuan Li

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 166 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guoxuan Li trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Shaoqing Ren
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Tsung-Yi Lin
  7. X. Zhang
  8. Yann LeCun
  9. Karen Simonyan
  10. Yoshua Bengio

Papers from Guoxuan Li's perspective

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

Their papers