Semi-supervised Incremental Learning of Manipulative Tasks (2009)
Zhe Li, Sven Wachsmuth, Jannik Fritsch, Gerhard Sagerer
For a social robot, the ability of learning tasks via human demonstration is very crucial. But most current approaches suffer from either the demanding of the huge amount of labeled training data, or...
Classes of Applications for Social Robots: A User Study (2008)
Frank Hegel, Manja Lohse, Agnes Swadzba, Sven Wachsmuth, Katharina Rohlfing, Britta Wrede
Abstract – The paper introduces an online user study on applications for social robots with 127 participants. The potential users proposed 570 application scenarios based on the appearance and...
Manipulative Action Recognition for Human- Robot Interaction (2008)
Zhe Li, Sven Wachsmuth, Jannik Fritsch, Gerhard Sagerer
Recently, human-robot interaction is receiving more and more interest in the robotics as well
Probabilistic Scene Modeling for Situated Computer Vision (2008)
Wachsmuth, Sven, Swadzba, Agnes
Verbal statements and vision are a rich source of information in a human-machine interaction scenario. For this reason Situated Computer Vision aims to include knowledge about the communicative...
Daniel Schl Uter, Sven Wachsmuth, Gerhard Sagerer, Stefan Posch
2000 IEEE. Personal use of this material is permitted.However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or...
Active Vision-based Localization For Robots In A Home-Tour Scenario (2007)
Schubert, Falk, Spexard, Thorsten, Hanheide, Marc, Wachsmuth, Sven
Self-Localization is a crucial task for mobile robots. It is not only a requirement for auto navigation but also provides contextual information to support human robot interaction (HRI). In this...
Bridging the Web and Perceptual User Interfaces (2007)
Lütkebohle, Ingo, Wachsmuth, Sven, Kummert, Franz
We present a system that bridges the perceptual user interfaces paradigm and web applications, and thus allows us to control a web application through hand-gestures. It exemplifies a general...
Multi-modal scene understanding using probabilistic models / (2003)
Zugl.: Bielefeld, University, Diss., 2001.
Towards a Framework for Learning Structured Shape Models from (2003)
Sven Wachsmuth, Suzanne Stevenson, Sven Dickinson
We present on-going work on the topic of learning translation models between image data and text (English) captions. Most approaches to this problem assume a one-to-one or a flat, oneto -many mapping...
Sven Wachsmuth, Suzanne Stevenson, Sven Dickinson
We present on-going work on the topic of learning translation models between image data and text (English) captions. Most approaches to this problem assume a one-to-one or a flat, oneto-many mapping...
Alberta Canada Bayesian, Sven Wachsmuth, Gerhard Sagerer
The realization of natural human-computer interfaces suffers from a wide range of restrictions concerning noisy data, vague meanings, and context dependence. An essential aspect of everyday...
Multi-modal scene understanding using probabilistic models (2001)
This thesis addresses the problem of relating spoken utterances to the simultaneously perceived visual scene context. The development of systems that integrate verbal and visual information is an...
Multi-modal Scene Understanding Using Probabilistic Models (2001)
Ag Angewandte Informatik, Sven Dickinson, ...
First, I would like to especially thank my advisor, Prof. Gerhard Sagerer, for his openminded support, continual encouragement, and fruitful discussions. His way of mediating experiences beyond...
Using speech in visual object recognition (2000)
Sven Wachsmuth, Gernot A. Fink, Franz Kummert, Gerhard Sagerer
Springer-Verlag Heidelberg. Permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or...
Integrated Recognition and Interpretation of Speech for a Construction Task Domain (1999)
Hans Brandt-Pook, Hans Br, Gernot A. Fink, Sven Wachsmuth, Gerhard Sagerer, ...
this paper a technique that tightly couples the speech recogniser and the speech understanding. We first give an overview of the system architecture and then we focus on the language modelling and...
Multilevel Integration of Vision and Speech Understanding Using Bayesian Networks (1999)
Sven Wachsmuth, Hans Br, Gudrun Socher, Franz Kummert, Gerhard Sagerer
The interaction of image and speech processing is a crucial property of multimedia systems. Classical systems using inferences on pure qualitative high level descriptions miss a lot of information...
Multilevel integration of vision and speech understanding using bayesian networks (1999)
Sven Wachsmuth, Gudrun Socher, Hans Brandt-pook, Franz Kummert, Gerhard Sagerer
Individuals $30.00, Institutions $125.00. Canadians add additional 7 % GST. Prices subject to change without notice. Subscribers are licensed to use journal articles in a variety of ways, limited...
Integration Of Parsing And Incremental Speech Recognition (1998)
Sven Wachsmuth, Gernot A. Fink, Gerhard Sagerer
In this paper we propose a new approach to integrating a parser into a statistical speech recognizer. The method is able to incrementally apply grammatical restrictions and robustly combine them with...