Li Ma

Computer Vision and Pattern Recognition · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2002–2004

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Li Ma trusts overall

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

  1. John G. Daugman
  2. Tien-Ping Tan
  3. Yunhong Wang
  4. David A Clausi
  5. M. Ed Jernigan
  6. Jianguo Zhang
  7. Anil K. Jain
  8. David Dapeng Zhang
  9. Stéphane Mallat
  10. Richard P. Wildes

Who trusts Li Ma overall

  1. Tien-Ping Tan
  2. Hugo Proença
  3. J. Unar
  4. Kevin W. Bowyer
  5. Yunhong Wang
  6. Ajay Kumar
  7. Mayank Vatsa
  8. Donald M. Monro
  9. Zhenan Sun
  10. Luís A. Alexandre

Papers from Li Ma's perspective

Ordered by how strongly the researchers Li Ma 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Going deeper with convolutions
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers