Kaichun Mo

EngineeringComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 1 paper. Top paper: “PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation”.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)(2017)10.1109/cvpr.2017.16

N/A

1.4DataRank · unranked

9702 citations

Hao Su, Mo Kaichun, Leonidas J. Guibas, Raffaelli Charles, Kaichun Mo +2 more