Li Gu

Computer Vision and Pattern Recognition · with Fidler · 2019

A researcher in the Science corpus: 1 paper; trusts 68 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Li Gu trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Alex Krizhevsky
  6. Jimmy Ba
  7. David G. Lowe
  8. Yoshua Bengio
  9. Yann LeCun
  10. Tsung-Yi Lin

Papers from Li Gu's perspective

Ordered by how strongly the researchers Li Gu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Microsoft COCO: Common Objects in Context
  6. Gradient-based learning applied to document recognition
  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. Attention is All you Need (Neural Information Processing Systems)

Their papers