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Speech Communication, ISSN 0167-6393, 2009, Volume 51, Issue 3, pp. 195 - 209
It has been shown that acoustic-to-articulatory inversion, i.e. estimation of the articulatory configuration from the corresponding acoustic signal, can be... 
Speech inversion | Computer vision | Articulatory inversion | ACOUSTICS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SPEECH RECOGNITION | Computer science | Machine vision | Temperature inversions | speech recognition
Journal Article
2014 22nd International Conference on Pattern Recognition, ISSN 1051-4651, 08/2014, pp. 4630 - 4635
Forensic video analysis is the offline analysis of video aimed at understanding what happened in a scene in the past. Two of its key tasks are the recognition... 
Legged locomotion | Image color analysis | Surveillance | Forensics | Detectors | Feature extraction | Optical imaging
Conference Proceeding
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2017, Volume 10652, pp. 556 - 566
Conference Proceeding
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2016, Volume 9912, pp. 210 - 226
Conference Proceeding
Speech Communication, ISSN 0167-6393, 03/2009, Volume 51, Issue 3, pp. 195 - 209
It has been shown that acoustic-to-articulatory inversion, i.e. estimation of the articulatory configuration from the corresponding acoustic signal, can be... 
Journal Article
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, ISSN 2153-0858, 09/2014, pp. 3045 - 3052
Humans are able to merge information from multiple perceptional modalities and formulate a coherent representation of the world. Our thesis is that robots need... 
Visualization | Dairy products | Three-dimensional displays | Hidden Markov models | Feature extraction | Data models | Robots
Conference Proceeding
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2015, Volume 8926, pp. 500 - 515
Conference Proceeding
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 07/2017, Volume 2017-, pp. 1591 - 1599
Generative models of 3D human motion are often restricted to a small number of activities and can therefore not generalize well to novel movements or... 
Feature extraction | Correlation | Encoding | Decoding | Computational modeling | Hidden Markov models
Conference Proceeding
Behaviour & Information Technology: Selected papers from the Seventh International ACM SIGACCESS Conference on Computers and Accessibility, ISSN 0144-929X, 07/2006, Volume 25, Issue 4, pp. 353 - 365
This study has been performed in order to evaluate a prototype for the human - computer interface of a computer-based speech training aid named ARTUR. The main... 
Wizard of Oz test | Computer-based speech training system | Participatory design | User interface | PERCEPTION | participatory design | ERGONOMICS | user interface | COMPUTER SCIENCE, CYBERNETICS | computer-based speech training system
Journal Article
11/2018
We present the Mixed Likelihood Gaussian process latent variable model (GP-LVM), capable of modeling data with attributes of different types. The standard... 
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2008, Volume 5303, Issue 2, pp. 336 - 349
Conference Proceeding
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 01/2019, pp. 491 - 500
Image classification models built into visual support systems and other assistive devices need to provide accurate predictions about their environment. We... 
Training | Visualization | Adaptation models | Computer vision | Dairy products | Computational modeling | Task analysis
Conference Proceeding
02/2020
We present a method for weakly-supervised action localization based on graph convolutions. In order to find and classify video time segments that correspond to... 
Computer Science - Computer Vision and Pattern Recognition
Journal Article
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