Sotabase

Career

· Paul Pigott Professor of Computer Science and Electrical Engineering, Stanford University2009–
· Professor of Computer Science and Engineering, Massachusetts Institute of Technology1989–1991
· Senior Consultant Engineer, Systems Research Center, Digital Equipment Corporation1988–1993
· Senior Research Scientist, Systems Research Center, Digital Equipment Corporation1984–1988
· Senior Research Scientist, Xerox Palo Alto Research Center1982–1984
· PhD in Computer Science, Stanford University1976–
· Member of the Research Staff, Xerox Palo Alto Research Center1973–1982
· M.S. in Mathematics, California Institute of Technology1971–

Publications (688)

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Computer Vision and Pattern Recognition · 2016
16,642
cited
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Neural Information Processing Systems · 2017
13,175
cited
ShapeNet: An Information-Rich 3D Model Repository
arXiv.org · 2015
6,148
cited
KPConv: Flexible and Deformable Convolution for Point Clouds
IEEE International Conference on Computer Vision · 2019
3,037
cited
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Computer Vision and Pattern Recognition · 2016
2,515
cited
Frustum PointNets for 3D Object Detection from RGB-D Data
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2017
2,466
cited
A metric for distributions with applications to image databases
Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) · 1998
2,035
cited
Eurographics Symposium on Geometry Processing 2009 a Concise and Provably Informative Multi-scale Signature Based on Heat Diffusion
1,685
cited
Volumetric and Multi-view CNNs for Object Classification on 3D Data
Computer Vision and Pattern Recognition · 2016
1,625
cited
Learning Representations and Generative Models for 3D Point Clouds
International Conference on Machine Learning · 2017
1,596
cited
Deep Hough Voting for 3D Object Detection in Point Clouds
IEEE International Conference on Computer Vision · 2019
1,433
cited
Deep Knowledge Tracing
Neural Information Processing Systems · 2015
1,410
cited
Efficient Geometry-aware 3D Generative Adversarial Networks
Computer Vision and Pattern Recognition · 2021
1,407
cited
Taskonomy: Disentangling Task Transfer Learning
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
1,342
cited
A scalable active framework for region annotation in 3D shape collections
ACM Transactions on Graphics · 2016
1,321
cited
Wireless sensor networks - an information processing approach
The Morgan Kaufmann series in networking · 2004
1,281
cited
Primitives for the manipulation of general subdivisions and the computation of Voronoi
ACM Transactions on Graphics · 1983
1,219
cited
PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding
Computer Vision and Pattern Recognition · 2018
851
cited
Shape google: Geometric words and expressions for invariant shape retrieval
TOGS · 2011
835
cited
Optimally combining sampling techniques for Monte Carlo rendering
International Conference on Computer Graphics and Interactive Techniques · 1995
827
cited
Sotabase