Daniel DeMenthon

International Journal of Computer Vision · 2002

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Daniel DeMenthon trusts overall

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

  1. Davi Geiger

Who trusts Daniel DeMenthon overall

  1. Haoyin Zhou
  2. Hao Su
  3. Pablo Garrido

Papers from Daniel DeMenthon's perspective

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

  1. Multiple View Geometry in Computer Vision
  2. A common framework for image segmentation
  3. Visual learning and recognition of 3-d objects from appearance
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Histograms of oriented gradients for human detection

Their papers