Xingyuan Zhang

Computer Vision and Pattern Recognition · with Huang · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xingyuan Zhang trusts

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

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

Papers from Xingyuan Zhang's perspective

Ordered by how strongly the researchers Xingyuan Zhang 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. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Linear spatial pyramid matching using sparse coding for image classification
  8. Caltech-256 Object Category Dataset
  9. Squeeze-and-Excitation Networks
  10. Learning Multiple Layers of Features from Tiny Images

Their papers