| Multiple classifier systems for the classification of audio-visual emotional states M Glodek, S Tschechne, G Layher, M Schels, T Brosch, S Scherer, ... Affective Computing and Intelligent Interaction, 359-368, 2011 | 144 | 2011 |
| Fully Convolutional Region Proposal Networks for Multispectral Person Detection D König, M Adam, C Jarvers, G Layher, H Neumann, M Teutsch Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE …, 2017 | 110 | 2017 |
| A comprehensive head pose and gaze database U Weidenbacher, G Layher, PM Strauss, H Neumann IET Digital Library, 2007 | 63 | 2007 |
| A generic framework for the inference of user states in human computer interaction S Scherer, M Glodek, G Layher, M Schels, M Schmidt, T Brosch, ... Journal on Multimodal User Interfaces 6 (3-4), 117-141, 2012 | 56 | 2012 |
| The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain-and Emotion-Recognition System M Velana, S Gruss, G Layher, P Thiam, Y Zhang, D Schork, V Kessler, ... IAPR Workshop on Multimodal Pattern Recognition of Social Signals in Human …, 2016 | 44 | 2016 |
| An audiovisual political speech analysis incorporating eye-tracking and perception data. S Scherer, G Layher, J Kane, H Neumann, N Campbell LREC, 1114-1120, 2012 | 43 | 2012 |
| Detection of head pose and gaze direction for human-computer interaction U Weidenbacher, G Layher, P Bayerl, H Neumann International Tutorial and Research Workshop on Perception and Interactive …, 2006 | 36 | 2006 |
| Multi-modal classifier-fusion for the recognition of emotions M Schels, M Glodek, S Meudt, S Scherer, M Schmidt, G Layher, ... Coverbal Synchrony in Human-Machine Interaction, 73-98, 2013 | 27 | 2013 |
| Learning representations of animated motion sequences—A neural model G Layher, MA Giese, H Neumann Topics in cognitive science 6 (1), 170-182, 2014 | 25 | 2014 |
| Embodied Learning of a Generative Neural Model for Biological Motion Perception and Inference F Schrodt, G Layher, H Neumann, MV Butz Frontiers in Computational Neuroscience 9, 79, 2015 | 20 | 2015 |
| Identifying Features of Bodily Expression As Indicators of Emotional Experience during Multimedia Learning V Riemer, J Frommel, G Layher, H Neumann, C Schrader Frontiers in psychology 8, 1303, 2017 | 11 | 2017 |
| Recognizing human activities using a layered Markov architecture M Glodek, G Layher, F Schwenker, G Palm Artificial Neural Networks and Machine Learning–ICANN 2012, 677-684, 2012 | 10 | 2012 |
| Utilizing the Capabilities Offered by Eye-Tracking to Foster Novices’ Comprehension of Business Process Models M Zimoch, R Pryss, G Layher, H Neumann, T Probst, W Schlee, ... International Conference on Cognitive Computing, 155-163, 2018 | 9 | 2018 |
| Real-time Biologically Inspired Action Recognition from Key Poses using a Neuromorphic Architecture G Layher, T Brosch, H Neumann Frontiers in Neurorobotics 11, 2017 | 8 | 2017 |
| Learning representations for animated motion sequence and implied motion recognition G Layher, MA Giese, H Neumann Artificial Neural Networks and Machine Learning–ICANN 2012, 288-295, 2012 | 7 | 2012 |
| Adaptive learning in a compartmental model of visual cortex—how feedback enables stable category learning and refinement G Layher, F Schrodt, MV Butz, H Neumann Frontiers in psychology 5, 1287, 2014 | 6 | 2014 |
| Modeling perspective-taking upon observation of 3D biological motion F Schrodt, G Layher, H Neumann, MV Butz Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2014 Joint …, 2014 | 6 | 2014 |
| Robust stereoscopic head pose estimation in human-computer interaction and a unified evaluation framework G Layher, H Liebau, R Niese, A Al-Hamadi, B Michaelis, H Neumann International Conference on Image Analysis and Processing, 227-236, 2011 | 6 | 2011 |
| Modeling perspective-taking by correlating visual and proprioceptive dynamics F Schrodt, G Layher, H Neumann, MV Butz Proceedings fo the 36th Annual Conference of the Cognitive Science Society, 2014 | 4 | 2014 |
| uulmMAD–A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances M Glodek, G Layher, F Heilemann, F Gawrilowicz, G Palm, F Schwenker, ... Multimodal Pattern Recognition of Social Signals in Human-Computer …, 2015 | 3 | 2015 |
Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingVerified email at uni-ulm.de
