Fengyuan Xu

Computer Vision and Pattern Recognition · with Lee · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fengyuan Xu trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Yangqing Jia (in Computer Vision and Pattern Recognition)
  3. Karen Simonyan (in Computer Vision and Pattern Recognition)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  5. Kaiming He (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  8. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  9. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  10. X. Zhang (in Computer Vision and Pattern Recognition)

Papers from Fengyuan Xu's perspective

Ordered by how strongly the researchers Fengyuan Xu 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. Going deeper with convolutions
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
  7. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers