Xiangyu Yue

Computer Vision and Pattern Recognition · with Ding · 2023

A researcher in the Science corpus: 1 paper; trusts 148 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiangyu Yue trusts overall

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

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

Papers from Xiangyu Yue's perspective

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

Their papers