Yan Luo

Computer Vision and Pattern Recognition · with Boix · 2015

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Luo trusts overall

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

  1. Alex Krizhevsky
  2. Christian Szegedy
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Jia Deng
  7. Ian J. Goodfellow
  8. Yoshua Bengio
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Yan Luo overall

  1. Andras Rozsa
  2. Aaditya (Adi) Prakash
  3. Daniel Zoran
  4. Manuel Günther
  5. Anish Athalye
  6. Terrance E. Boult
  7. Abigail Graese
  8. Cihang Xie

Papers from Yan Luo's perspective

Ordered by how strongly the researchers Yan Luo 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers