Sean Wang

Computer Vision and Pattern Recognition · with Bosch · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sean Wang trusts overall

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

  1. Heiko Hirschmüller
  2. François Chollet

Papers from Sean Wang's perspective

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

  1. Microsoft COCO: Common Objects in Context
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Densely Connected Convolutional Networks
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. The Cityscapes Dataset for Semantic Urban Scene Understanding
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers