Min Xu

Computer Vision and Pattern Recognition · with Jiang · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Min Xu trusts

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

  1. Andrea Vedaldi (in Computer Vision and Pattern Recognition)
  2. Rob Fergus (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)
  5. Matthew D. Zeiler (in Computer Vision and Pattern Recognition)
  6. Aravindh Mahendran (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  8. Kaiming He (in Computer Vision and Pattern Recognition)
  9. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Min Xu's perspective

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

Their papers