Xinmei Tian

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 12 papers; trusts 968 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Xinmei Tian trusts overall

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

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

Who trusts Xinmei Tian overall

  1. Kaiyang Zhou
  2. Divyat Mahajan
  3. Yongxin Yang
  4. Fengxiang He
  5. Toshihiko Matsuura
  6. Bernhard Schölkopf
  7. Polina Kirichenko

Papers from Xinmei Tian's perspective

Ordered by how strongly the researchers Xinmei Tian 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers