Lei Qin

Computer Vision and Pattern Recognition · with Li · 2011–2016

A researcher in the Science corpus: 5 papers; trusts 142 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Qin trusts overall

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

  1. Navneet Dalal
  2. Ivan Laptev
  3. Alex Krizhevsky
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Ross B. Girshick
  7. Kaiming He
  8. David G. Lowe
  9. Andrew Zisserman
  10. Ilya Sutskever

Who trusts Lei Qin overall

  1. Hossein Rahmani
  2. Lu Xia
  3. Amir Shahroudy
  4. A.-Reum Lee
  5. Li Niu
  6. Zhao Yang
  7. Arif Mahmood

Papers from Lei Qin's perspective

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

Their papers