Lingjuan Miao

Computer Vision and Pattern Recognition · 2009–2020

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lingjuan Miao trusts overall

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

  1. Ross B. Girshick
  2. Tsung-Yi Lin
  3. Kaiming He
  4. Xue Yang
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Minghui Liao
  8. Piotr Doll'ar

Papers from Lingjuan Miao's perspective

Ordered by how strongly the researchers Lingjuan Miao 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. Going deeper with convolutions
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers