Lin Gu

Computer Vision and Pattern Recognition · with Liu · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 71 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Gu trusts overall

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

  1. Geoffrey E. Hinton
  2. Jia Deng
  3. Christian Szegedy
  4. Alex Krizhevsky
  5. Kaiming He

Papers from Lin Gu's perspective

Ordered by how strongly the researchers Lin Gu 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. ImageNet: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Distilling the Knowledge in a Neural Network (arXiv.org)
  6. Et al
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers