Lingjia Tang

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 6 papers; trusts 96 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Lingjia Tang trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Yoshua Bengio
  6. Kaiming He
  7. Ilya Sutskever
  8. Andrew Zisserman
  9. L. Eon Bottou
  10. Christian Szegedy

Who trusts Lingjia Tang overall

  1. David Lo

Papers from Lingjia Tang's perspective

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

Their papers