A general framework simultaneously addressing pose
estimation, 2D segmentation, object recognition, and 3D
reconstruction from a single image is introduced in this
paper. The pr...
This paper examines the problem of reconstructing a voxelized representation of 3D space from a series of images. An iterative algorithm is used to find the scene model which join...
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
Large-scale, ground-level urban imagery has recently developed as an important element of online mapping tools such as Google’s Street View. Such imagery is extremely valuable i...
With the growth in digital libraries and standardization of protocols for metadata sharing, it is becoming feasible to build federated discovery services which aggregate metadata ...
Kailash Bhoopalam, Kurt Maly, Mohammad Zubair, Rav...