Liang Shen

Computer Vision and Pattern Recognition · with Aleksic · 2018

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 Liang Shen trusts overall

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

  1. Alex Krizhevsky

Papers from Liang Shen's perspective

Ordered by how strongly the researchers Liang Shen 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. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
  6. Gradient-based learning applied to document recognition
  7. Convolutional Deep Belief Networks on CIFAR-10
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation

Their papers