Tianhan Xu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 159 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tianhan Xu trusts overall

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

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

Who trusts Tianhan Xu overall

  1. Moez Krichen

Papers from Tianhan Xu's perspective

Ordered by how strongly the researchers Tianhan Xu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers