Yunsheng Ma

Computer Vision and Pattern Recognition · 2003–2016

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yunsheng Ma trusts overall

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

  1. Yoshua Bengio
  2. P. Kopelman
  3. Geoffrey E. Hinton

Papers from Yunsheng Ma's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Going deeper with convolutions
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. Rectified Linear Units Improve Restricted Boltzmann Machines
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. A Fast Learning Algorithm for Deep Belief Nets
  9. Learning Deep Architectures for AI
  10. Visualizing and Understanding Convolutional Networks

Their papers