Ma Yunsheng

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ma Yunsheng trusts

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

  1. Kaiming He (in Model Architectures)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  3. David G. Lowe (in Computer Vision and Pattern Recognition)
  4. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Ma Yunsheng's perspective

Ordered by how strongly the researchers Ma Yunsheng 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. Going deeper with convolutions
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Histograms of oriented gradients for human detection
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Microsoft COCO: Common Objects in Context
  9. Visualizing and Understanding Convolutional Networks
  10. Caffe: Convolutional Architecture for Fast Feature Embedding

Their papers