Jarrell W. Waggoner

According to our database1, Jarrell W. Waggoner authored at least 14 papers between 2010 and 2015.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2015
Topology-Preserving Multi-label Image Segmentation.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

2014
Graph-cut based interactive segmentation of 3D materials-science images.
Mach. Vis. Appl., 2014

Edge-Weighted Centroid Voronoi Tessellation with Propagation of Consistency Constraint for 3D Grain Segmentation in Microscopic Superalloy Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
3D Materials Image Segmentation by 2D Propagation: A Graph-Cut Approach Considering Homomorphism.
IEEE Trans. Image Process., 2013

Shape and image retrieval by organizing instances using population cues.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Handwritten text segmentation using average longest path algorithm.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

A graph-based algorithm for multi-target tracking with occlusion.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Interactive grain image segmentation using graph cut algorithms.
Proceedings of the Computational Imaging XI, 2013

2012
Large-Scale Automatic Labeling of Video Events with Verbs Based on Event-Participant Interaction
CoRR, 2012


Superedge grouping for object localization by combining appearance and shape information.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Image sequence segmentation combining global labeling and local relabeling and its application to materials science images.
Proceedings of the Computational Imaging X, 2012

2010
Free-shape subwindow search for object localization.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Two perceptually motivated strategies for shape classification.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010


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