3 papers
cs.CV2018
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences
Mohammed E. Fathy, Quoc-Huy Tran, M. Zeeshan Zia +2
Interest point descriptors have fueled progress on almost every problem in computer vision. Recent advances in deep neural networks have enabled task-specific learned descriptors t…
cs.CV2017
Deep Network Flow for Multi-Object Tracking
Samuel Schulter, Paul Vernaza, Wongun Choi +1
Data association problems are an important component of many computer vision applications, with multi-object tracking being one of the most prominent examples. A typical approach t…
cs.CV2016
Variational reaction-diffusion systems for semantic segmentation
Paul Vernaza
A novel global energy model for multi-class semantic image segmentation is proposed that admits very efficient exact inference and derivative calculations for learning. Inference i…