Youn-Long Steve Lin

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Youn-Long Steve Lin trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He

Papers from Youn-Long Steve Lin's perspective

Ordered by how strongly the researchers Youn-Long Steve Lin 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. ImageNet: A large-scale hierarchical image database
  4. Learning Multiple Layers of Features from Tiny Images
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Microsoft COCO: Common Objects in Context
  7. Fully convolutional networks for semantic segmentation
  8. Rethinking the Inception Architecture for Computer Vision
  9. Densely Connected Convolutional Networks
  10. Gradient-based learning applied to document recognition

Their papers