Holger Winnemoeller

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 Holger Winnemoeller trusts

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

  1. Florent Perronnin (in Computer Vision and Pattern Recognition)
  2. Luca Marchesotti (in Computer Vision and Pattern Recognition)

Papers from Holger Winnemoeller's perspective

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

  1. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
  2. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  3. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  4. Studying Aesthetics in Photographic Images Using a Computational Approach
  5. A reliable effective terascale linear learning system
  6. High level describable attributes for predicting aesthetics and interestingness
  7. Graph-Based Visual Saliency
  8. What makes an image memorable?
  9. AVA: A large-scale database for aesthetic visual analysis
  10. A digital technique for art authentication

Their papers