S. Kuma

Computer Vision and Pattern Recognition · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom S. Kuma trusts overall

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

1. Shimon Ullman
2. Iain E. Garden Richardson

Papers from S. Kuma's perspective

Ordered by how strongly the researchers S. Kuma 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. A volumetric method for building complex models from range images
3. Geometry images
4. Overview of the High Efficiency Video Coding (HEVC) Standard
5. Geometric modeling using octree encoding
6. The H.264 Advanced Video Compression Standard
7. The interpretation of structure from motion
8. Multi-Chart Geometry Images
9. Distinctive Image Features from Scale-Invariant Keypoints
10. Normalized cuts and image segmentation

Their papers

• An overview of ongoing point cloud compression standardization activities: video-based (V-PCC) and geometry-based (G-PCC) (2020) — 488 citations