Yunlu Xu

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 68 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yunlu Xu trusts overall

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

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

Who trusts Yunlu Xu overall

  1. Francesco Pelosin
  2. B. Ermiş

Papers from Yunlu Xu's perspective

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

Their papers