Yuri Feigin

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 Yuri Feigin trusts overall

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

1. Daniel Scharstein

Papers from Yuri Feigin's perspective

Ordered by how strongly the researchers Yuri Feigin 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
6. Matterport3D: Learning from RGB-D Data in Indoor Environments
7. Vision meets robotics: The KITTI dataset
8. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
9. Gradient-based learning applied to document recognition
10. SUN RGB-D: A RGB-D scene understanding benchmark suite

Their papers

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