Thomas Gebauer

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

• Computer Vision and Pattern Recognition — 31 citations into it

Whom Thomas Gebauer 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 Thomas Gebauer's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. ShapeNet: An Information-Rich 3D Model Repository
3. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
4. Matterport3D: Learning from RGB-D Data in Indoor Environments
5. Vision meets robotics: The KITTI dataset
6. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
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. Frustum PointNets for 3D Object Detection from RGB-D Data

Their papers

• ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data (2021) — 470 citations