Carl T. Haas

Computer Vision and Pattern Recognition · 2000–2015

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Carl T. Haas trusts

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

  1. Peter J. Green (in Probabilistic & Bayesian Methods)
  2. Jitendra Malik (in Computer Vision and Pattern Recognition)
  3. David G. Lowe (in Computer Vision and Pattern Recognition)
  4. Pablo Arbeláez (in Computer Vision and Pattern Recognition)

Papers from Carl T. Haas's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Indoor Segmentation and Support Inference from RGBD Images
  3. Multiple View Geometry in Computer Vision
  4. Fast approximate energy minimization via graph cuts
  5. Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images
  6. Learning Rich Features from RGB-D Images for Object Detection and Segmentation
  7. KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera
  8. 3D is here: Point Cloud Library (PCL)
  9. Discriminative learning of Markov random fields for segmentation of 3D scan data (Computer Vision and Pattern Recognition)
  10. Robust Registration of 2D and 3D Point Sets (British Machine Vision Conference)

Their papers