Sisi Wei

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 142 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sisi Wei trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Ross B. Girshick
  4. Shaoqing Ren
  5. Tsung-Yi Lin
  6. Diederik P. Kingma
  7. Andrew Zisserman
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Yann LeCun

Papers from Sisi Wei's perspective

Ordered by how strongly the researchers Sisi Wei 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers