James P. Zott

Computer Vision and Pattern Recognition · 2013

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

Subfields

Whom James P. Zott trusts

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

  1. David G. Lowe (in Computer Vision and Pattern Recognition)

Papers from James P. Zott's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Estimating the Support of a High-Dimensional Distribution
  3. Visual Recognition with Humans in the Loop
  4. Why is Real-World Visual Object Recognition Hard?
  5. Description of interest regions with local binary patterns (Pattern Recognition)
  6. Individuals and populations: the role of long-term, individual-based studies of animals in ecology and evolutionary biology. (Trends in Ecology & Evolution)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Gradient-based learning applied to document recognition
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers