Min Xu

Computer Vision and Pattern Recognition · with Balioglu · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 189 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Min Xu trusts overall

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

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

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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers