Liang Ma

Computer Vision and Pattern Recognition · with Blott · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Ma trusts overall

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

  1. Bichen Wu

Papers from Liang Ma's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet: A large-scale hierarchical image database
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Learning Multiple Layers of Features from Tiny Images
  5. ImageNet classification with deep convolutional neural networks
  6. Densely Connected Convolutional Networks
  7. Identity Mappings in Deep Residual Networks
  8. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  9. Multi-Scale Context Aggregation by Dilated Convolutions
  10. Gradient-based learning applied to document recognition

Their papers