Lin Wang

Computer Vision and Pattern Recognition · with Bermejo · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Wang trusts overall

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

  1. David G. Lowe

Papers from Lin Wang's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. SSD: Single Shot MultiBox Detector
  5. A unified architecture for natural language processing: deep neural networks with multitask learning
  6. Gradient-based learning applied to document recognition
  7. A Neural Probabilistic Language Model
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers