Weiying Xie

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weiying Xie trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. L. Eon Bottou
  4. Tsung-Yi Lin
  5. Shaoqing Ren
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Joseph Redmon
  10. Yoshua Bengio

Papers from Weiying Xie's perspective

Ordered by how strongly the researchers Weiying Xie 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. 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. Microsoft COCO: Common Objects in Context
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers