Meiyan Huang

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Meiyan Huang trusts overall

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

  1. Florent Perronnin
  2. Andrea Vedaldi
  3. Andrew Zisserman
  4. Karen Simonyan

Who trusts Meiyan Huang overall

  1. Parnian Afshar

Papers from Meiyan Huang's perspective

Ordered by how strongly the researchers Meiyan Huang 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. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers