Tianwei Lin

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 5 papers; trusts 849 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Tianwei Lin trusts overall

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

  1. Ross B. Girshick
  2. Karen Simonyan
  3. Kaiming He
  4. Andrew Zisserman
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Christian Szegedy
  10. Jia Deng

Who trusts Tianwei Lin overall

  1. Chen-Lin Zhang
  2. Chen Zhao
  3. Jie Lei
  4. Mengmeng Xu
  5. Fuchen Long
  6. Jianxin Wu
  7. Runhao Zeng
  8. Daochang Liu
  9. Ali K. Thabet
  10. Hang Zhao

Papers from Tianwei Lin's perspective

Ordered by how strongly the researchers Tianwei Lin 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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