Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these p...
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Segmenting arbitrary unions of linear subspaces is an important tool for computer vision tasks such as motion and image segmentation, SfM or object recognition. We segment subspac...
Collaboration Engineering (CE) projects can run for months and can require substantial expenditures of effort and resources. CE is an approach to designing collaborative work prac...
This paper examines the Human Computer Interaction issue of learnability of interactive coordinated-view visualizations. We take the case of DataMaps, a Census data visualization ...