Helen Han

Computer Vision and Pattern Recognition · 2013

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 Helen Han trusts overall

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

  1. Luca Marchesotti

Papers from Helen Han's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  5. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers