James Diebel

Computer Vision and Pattern Recognition · 2005–2010

A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 85 researchers here, as inferred from the citation graph.

Subfields

Whom James Diebel trusts overall

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

  1. Daniel Scharstein
  2. Harry Shum
  3. Thouis Raymond Jones
  4. Richard Szeliski
  5. Nanning Zheng
  6. Sebastian Thrun
  7. Gabriel Taubin
  8. Frédo Durand
  9. Szymon Rusinkiewicz
  10. Yair Weiss

Who trusts James Diebel overall

  1. David A. Braude
  2. Ross Hartley
  3. Jonathan T. Barron
  4. Anh Viet Nguyen
  5. Liang-Chieh Chen
  6. Yasutaka Furukawa
  7. Tak-Wai Hui
  8. Yijun Li
  9. Bo Li
  10. Qingxiong Yang

Papers from James Diebel's perspective

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

  1. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. A volumetric method for building complex models from range images
  5. Stereo Matching Using Belief Propagation (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  6. A Theory of Shape by Space Carving
  7. Photorealistic Scene Reconstruction by Voxel Coloring
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Multi-view stereo via volumetric graph-cuts
  10. Silhouette and stereo fusion for 3D object modeling

Their papers