Elad Shulman

Computer Vision and Pattern Recognition · 2021

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

Subfields

Whom Elad Shulman trusts

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

  1. Daniel Scharstein (in Computer Vision and Pattern Recognition)
  2. Richard Szeliski (in Computer Vision and Pattern Recognition)

Papers from Elad Shulman's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
  3. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  4. ShapeNet: An Information-Rich 3D Model Repository
  5. Matterport3D: Learning from RGB-D Data in Indoor Environments
  6. Vision meets robotics: The KITTI dataset
  7. A Naturalistic Open Source Movie for Optical Flow Evaluation
  8. SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels
  9. SUN RGB-D: A RGB-D scene understanding benchmark suite
  10. High-accuracy stereo depth maps using structured light

Their papers