Phil Leitner

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 Phil Leitner trusts overall

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

  1. David G. Lowe

Papers from Phil Leitner's perspective

Ordered by how strongly the researchers Phil Leitner 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. ImageNet classification with deep convolutional neural networks
  10. Gradient-based learning applied to document recognition

Their papers