Geoffrey Cross

Computer Vision and Pattern Recognition · 2006

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Geoffrey Cross trusts overall

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

  1. Yuri Boykov
  2. Carsten Rother
  3. Sanjiv Kumar
  4. Andrew Blake
  5. Vladimir Kolmogorov

Who trusts Geoffrey Cross overall

  1. Xue Bai
  2. Antonio Criminisi
  3. Esa Rahtu
  4. Deqing Sun

Papers from Geoffrey Cross's perspective

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

  1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  2. "GrabCut": interactive foreground extraction using iterated graph cuts
  3. Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images
  4. Discriminative random fields: a discriminative framework for contextual interaction in classification (Proceedings Ninth IEEE International Conference on Computer Vision)
  5. Interactive Image Segmentation Using an Adaptive GMMRF Model
  6. Adaptive background mixture models for real-time tracking
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet classification with deep convolutional neural networks
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers