Lin Shi

Computer Vision and Pattern Recognition · with Wang · 2012–2016

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Shi trusts overall

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

  1. Vaidy Mani
  2. Guillem Pratx
  3. Gilles Aubert
  4. Alison Noble
  5. Serge J. Belongie
  6. Klaus Engel
  7. Jitendra Malik
  8. Dr.S. rivazhagan
  9. Lei Xing
  10. Djamal Boukerroui

Papers from Lin Shi's perspective

Ordered by how strongly the researchers Lin Shi 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. Gradient-based learning applied to document recognition
  4. Fully convolutional networks for semantic segmentation
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers