Xin Gan

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 78 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xin Gan trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Yann LeCun
  6. Diederik P. Kingma
  7. Ross B. Girshick
  8. Oriol Vinyals
  9. Karen Simonyan
  10. Jia Deng

Papers from Xin Gan's perspective

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

Their papers