Shengyang Li

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shengyang Li trusts

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

  1. Jamie Sherrah (in Media Technology)
  2. Sandro Skansi (in Computer Vision and Pattern Recognition)
  3. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  4. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  5. Pedro F. Felzenszwalb (in Computer Vision and Pattern Recognition)
  6. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  7. Dan Huttenlocher (in Computer Vision and Pattern Recognition)
  8. Devis Tuia (in Media Technology)

Papers from Shengyang Li's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Visualizing and Understanding Convolutional Networks
  4. Selective Search for Object Recognition
  5. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Efficient Graph-Based Image Segmentation
  8. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
  9. Gradient-based learning applied to document recognition
  10. Textural Features for Image Classification

Their papers