Aleksandr V. Segal

Computer Vision and Pattern Recognition · 2009–2012

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Aleksandr V. Segal trusts overall

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

  1. Neil D. Lawrence
  2. Luminita A. Vese
  3. Georg S. W. Klein
  4. Andrew William Fitzgibbon
  5. Romeil Sandhu

Who trusts Aleksandr V. Segal overall

  1. Tixiao Shan
  2. Yue Wang
  3. Jürgen Sturm
  4. Jiarong Lin
  5. Jacopo Serafin
  6. César Debeunne
  7. Felix Endres
  8. Frank Steinbrücker
  9. Yuxiang Sun
  10. Maurilio Di Cicco

Papers from Aleksandr V. Segal's perspective

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

  1. A Method for Registration of 3-D Shapes
  2. Parallel Tracking and Mapping for Small AR Workspaces
  3. A shape-based approach to the segmentation of medical imagery using level sets (IEEE Transactions on Medical Imaging)
  4. Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models
  5. A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (International Journal of Computer Vision)
  6. Robust Registration of 2D and 3D Point Sets (British Machine Vision Conference)
  7. A Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Normalized cuts and image segmentation

Their papers