Wei Xiang

Computer Vision and Pattern Recognition · with Athitsos · 2017

A researcher in the Science corpus: 1 paper; trusts 289 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Xiang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Shaoqing Ren
  7. Christian Szegedy
  8. Andrew Zisserman
  9. Tsung-Yi Lin
  10. Piotr Doll'ar

Papers from Wei Xiang's perspective

Ordered by how strongly the researchers Wei Xiang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers