2008 |
23 | EE | Jan Moringen,
Sven Wachsmuth,
Sven J. Dickinson,
Suzanne Stevenson:
Learning Visual Compound Models from Parallel Image-Text Datasets.
DAGM-Symposium 2008: 486-496 |
22 | EE | Agnes Swadzba,
Anna-Lisa Vollmer,
Marc Hanheide,
Sven Wachsmuth:
Reducing noise and redundancy in registered range data for planar surface extraction.
ICPR 2008: 1-4 |
21 | EE | Agnes Swadzba,
Sven Wachsmuth:
Categorizing Perceptions of Indoor Rooms Using 3D Features.
SSPR/SPR 2008: 734-744 |
20 | EE | Christian Bauckhage,
Sven Wachsmuth,
Marc Hanheide,
Sebastian Wrede,
Gerhard Sagerer,
Gunther Heidemann,
Helge Ritter:
The visual active memory perspective on integrated recognition systems.
Image Vision Comput. 26(1): 5-14 (2008) |
2007 |
19 | EE | Michael Jamieson,
Afsaneh Fazly,
Sven J. Dickinson,
Suzanne Stevenson,
Sven Wachsmuth:
Learning Structured Appearance Models from Captioned Images of Cluttered Scenes.
ICCV 2007: 1-8 |
18 | EE | Zhe Li,
Sven Wachsmuth,
Jannik Fritsch,
Gerhard Sagerer:
View-adaptive manipulative action recognition for robot companions.
IROS 2007: 1028-1033 |
17 | EE | Zhe Li,
Sven Wachsmuth,
Jannik Fritsch,
Gerhard Sagerer:
Semi-supervised Incremental Learning of Manipulative Tasks.
MVA 2007: 73-77 |
16 | EE | Sven Wachsmuth,
Sebastian Wrede,
Marc Hanheide:
Coordinating interactive vision behaviors for cognitive assistance.
Computer Vision and Image Understanding 108(1-2): 135-149 (2007) |
2006 |
15 | EE | Michael Jamieson,
Sven J. Dickinson,
Suzanne Stevenson,
Sven Wachsmuth:
Using Language to Drive the Perceptual Grouping of Local Image Features.
CVPR (2) 2006: 2102-2109 |
14 | EE | Zhe Li,
Jannik Fritsch,
Sven Wachsmuth,
Gerhard Sagerer:
An Object-Oriented Approach Using a Top-Down and Bottom-Up Process for Manipulative Action Recognition.
DAGM-Symposium 2006: 212-221 |
13 | EE | Sebastian Wrede,
Marc Hanheide,
Sven Wachsmuth,
Gerhard Sagerer:
Integration and Coordination in a Cognitive Vision System.
ICVS 2006: 1 |
2005 |
12 | | Ingo Lütkebohle,
Sebastian Wrede,
Sven Wachsmuth:
Unsupervised Filtering of XML Streams for System Integration.
PRIS 2005: 204-212 |
11 | EE | Patrick C. McGuire,
Jannik Fritsch,
Jochen J. Steil,
Frank Röthling,
Gernot A. Fink,
Sven Wachsmuth,
Gerhard Sagerer,
Helge Ritter:
Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks
CoRR abs/cs/0505064: (2005) |
10 | EE | Michaela Hohenner,
Sven Wachsmuth,
Gerhard Sagerer:
Modelling expertise for structure elucidation in organic chemistry using Bayesian networks.
Knowl.-Based Syst. 18(4-5): 207-215 (2005) |
2002 |
9 | | Sven Wachsmuth,
Gerhard Sagerer:
Bayesian Networks for Speech and Image Integration.
AAAI/IAAI 2002: 300-306 |
8 | EE | Christian Bauckhage,
Jannik Fritsch,
Katharina J. Rohlfing,
Sven Wachsmuth,
Gerhard Sagerer:
Evaluating Integrated Speech- and Image Understanding.
ICMI 2002: 9-14 |
7 | EE | Sven Wachsmuth,
Gerhard Sagerer:
Integrated Analysis of Speech and Images as a Probabilistic Decoding Process.
ICPR (2) 2002: 588-592 |
2000 |
6 | | Sven Wachsmuth,
Gernot A. Fink,
Franz Kummert,
Gerhard Sagerer:
Using Speech in Visual Object Recognition.
DAGM-Symposium 2000: 428-435 |
5 | | Daniel Schlüter,
Sven Wachsmuth,
Gerhard Sagerer,
Stefan Posch:
Towards an Integrated Framework for Contour-Based Grouping and Object Recognition Using Markov Random Fields.
ICIP 2000 |
4 | EE | Gerhard Sagerer,
Christian Bauckhage,
Elke Braun,
Jannik Fritsch,
Franz Kummert,
Frank Lömker,
Sven Wachsmuth:
Structure and Process: Learning of Visual Models and Construction Plans for Complex Objects.
Sensor Based Intelligent Robots 2000: 317-344 |
1999 |
3 | | Susanne Kronenberg,
Sven Wachsmuth,
Franz Kummert,
Gerhard Sagerer:
Disambiguation of Utterances by Visual Context Information.
DAGM-Symposium 1999: 338-347 |
2 | | Hans Brandt-Pook,
Gernot A. Fink,
Sven Wachsmuth,
Gerhard Sagerer:
Integrated Recognition and Interpretation of Speech for a Construction Task Domain.
HCI (1) 1999: 550-554 |
1 | EE | Sven Wachsmuth,
Hans Brandt-Pook,
Gudrun Socher,
Franz Kummert,
Gerhard Sagerer:
Multilevel Integration of Vision and Speech Understanding Using Bayesian Networks.
ICVS 1999: 231-254 |