Multi-view Convolutional Neural Networks for 3D Shape Recognition
A longstanding question in computer vision concerns the representation of 3D shapes for recognition: should 3D shapes be represented with descriptors operating on their native 3...
Publications
4 shownLearning hierarchical representations for face verification with convolutional deep belief networks
Most modern face recognition systems rely on a feature representation given by a hand-crafted image descriptor, such as Local Binary Patterns (LBP), and achieve improved perform...
Unsupervised Joint Alignment of Complex Images
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. ...
Learning to Align from Scratch
Unsupervised joint alignment of images has been demonstrated to improve performance on recognition tasks such as face verification. Such alignment reduces undesired variability ...
Frequent Co-Authors
Researcher Info
- h-index
- 4
- Publications
- 4
- Citations
- 4,215
- Institution
- University of Massachusetts Amherst
External Links
Identifiers
- ORCID
- 0000-0002-3778-9135
Impact Metrics
h-index
4
h-index: Number of publications with at least h citations each.