We present a novel image classification technique for detecting multiple objects (called subobjects) in a single image. In addition to image classifiers, we apply spatial relati...
It is widely recognized that inertial sensors, in particular gyroscopes, can improve the latency and accuracy of orientation tracking by fusing the inertial measurements with data...
Spatial information is a crucial aspect of image understanding for modeling context as well as resolving the uncertainties caused by the ambiguities in low-level features. We desc...
This paper presents a new method for editing and retargeting motions that involve close interactions between body parts of single or multiple articulated characters, such as danci...
This paper introduces a new method to extract and classify the meaningful information from documents automatically. The basic idea in our method is to utilize the spatial and geom...