PointConv: Deep Convolutional Networks on 3D Point Clouds
Unlike images which are represented in regular dense grids, 3D point clouds are irregular and unordered, hence applying convolution on them can be difficult. In this paper, we e...
Publications
3 shownObject recognition as ranking holistic figure-ground hypotheses
We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up...
Composite Statistical Inference for Semantic Segmentation
In this paper we present an inference procedure for the semantic segmentation of images. Different from many CRF approaches that rely on dependencies modeled with unary and pair...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 1,928
- Institution
- Oregon State University
External Links
Identifiers
- ORCID
- 0000-0001-7578-9622
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.