We propose a prediction technique that is geared toward forming successful estimates of a signal based on a correlated anchor signal that is contaminated with complex interference...
In this paper, a graphical modeling-based approach to semantic video analysis is presented for jointly realizing modality fusion and temporal context exploitation. Overall, the ex...
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Techniques for three dimensional (3D) imaging and analysis of as-built conditions of buildings are gaining acceptance in the Architecture, Engineering, and Construction (AEC) comm...
Kui Yue, Daniel Huber, Burcu Akinci, Ramesh Krishn...
Abstract. We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine cov...