Linlin Xu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 161 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Linlin Xu trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Yoshua Bengio
  7. Andreas Geiger
  8. Yann LeCun
  9. Ross B. Girshick
  10. Michael Niemeyer

Papers from Linlin Xu's perspective

Ordered by how strongly the researchers Linlin 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers