We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden conditi...
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
This paper presents a novel method for interactive exploration of industrial CT volumes such as cast metal parts, with the goal of interactively detecting, classifying, and quantif...
Markus Hadwiger, Laura Fritz, Christof Rezk-Sala...
We argue that expert finding is sensitive to multiple document features in an organizational intranet. These document features include multiple levels of associations between expe...
Jianhan Zhu, Xiangji Huang, Dawei Song, Stefan M. ...
Abstract. With the rapid development of fast data acquisition techniques, 3D scans that record the geometric and photometric information of deformable objects are routinely acquire...