Qing Li

Computer Vision and Pattern Recognition · with Cao · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qing Li trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  5. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Qing Li's perspective

Ordered by how strongly the researchers Qing Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Non-local Neural Networks
  3. Squeeze-and-Excitation Networks
  4. Learning Spatiotemporal Features with 3D Convolutional Networks
  5. Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
  6. Individual recognition using gait energy image
  7. The humanID gait challenge problem: data sets, performance, and analysis (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  8. A Framework for Evaluating the Effect of View Angle, Clothing and Carrying Condition on Gait Recognition (International Conference on Pattern Recognition)
  9. In Defense of the Triplet Loss for Person Re-Identification
  10. GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond

Their papers