Lin Sun

Computer Vision and Pattern Recognition · IEEE International Conference on Computer Vision · 2007–2018

A researcher in the Science corpus: 10 papers; trusts 503 researchers and is trusted by 121 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Sun trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Yann LeCun
  5. Ivan Laptev
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Kaiming He
  9. Andrew Zisserman
  10. Diederik P. Kingma

Who trusts Lin Sun overall

  1. Christoph Feichtenhofer
  2. Limin Wang
  3. Ali Diba
  4. Pichao Wang
  5. Xizhou Zhu
  6. Jie Yang
  7. X. Wang
  8. Ji Lin
  9. David Pfau
  10. Luc Van Gool

Papers from Lin Sun's perspective

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

Their papers