L. Huo

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 282 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom L. Huo trusts overall

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

  1. Thorsten Joachims
  2. David G. Lowe
  3. Chih-Jen Lin
  4. Svetlana Lazebnik
  5. Cordelia Schmid
  6. Yi Yang
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Andrew Zisserman
  10. Kaiming He

Who trusts L. Huo overall

  1. Gui-Song Xia
  2. Lijun Zhao
  3. Nassim Ammour
  4. Bei Zhao
  5. Jingwen Hu
  6. Fan Hu
  7. Gong Cheng
  8. Ping Tang
  9. Yanfei Zhong
  10. Liangpei Zhang

Papers from L. Huo's perspective

Ordered by how strongly the researchers L. Huo 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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