Georg Layher

发表

Adaptive learning in a compartmental model of visual cortex—how feedback enables stable category learning and refinement

Martin V. Butz, Heiko Neumann, Fabian Schrodt, 2014, Front. Psychol..

On Stacking Probabilistic Temporal Models with Bidirectional Information Flow

Günther Palm, Michael Glodek, Susanne Biundo-Stephan, 2016, Probabilistic Graphical Models.

Multi-modal Information Processing inCompanion-Systems: A Ticket Purchase System

Sascha Meudt, Günther Palm, Friedhelm Schwenker, 2017, Companion Technology.

Modeling Perspective-Taking by Correlating Visual and Proprioceptive Dynamics

Martin V. Butz, Heiko Neumann, Fabian Schrodt, 2014, CogSci.

Towards a mesoscopic-level canonical circuit definition for visual cortical processing

Tobias Brosch, Heiko Neumann, Georg Layher, 2016, BICT.

Towards the Separation of Rigid and Non-rigid Motions for Facial Expression Analysis

Stephan Tschechne, Heiko Neumann, Ayoub Al-Hamadi, 2015, 2015 International Conference on Intelligent Environments.

Evaluation of the PIT Corpus Or What a Difference a Face Makes?

Holger Hoffmann, Stefan Scherer, Petra-Maria Strauß, 2010, LREC.

Embodied learning of a generative neural model for biological motion perception and inference

Martin V. Butz, Heiko Neumann, Fabian Schrodt, 2015, Front. Comput. Neurosci..

Multiple Classifier Systems for the Classification of Audio-Visual Emotional States

Markus Kächele, Günther Palm, Friedhelm Schwenker, 2011, ACII.

Analysis of Articulated Motion for Social Signal Processing

Heiko Neumann, Michael Glodek, Georg Layher, 2017, Companion Technology.

Recognizing Human Activities Using a Layered Markov Architecture

Günther Palm, Friedhelm Schwenker, Michael Glodek, 2012, ICANN.

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database

Patrick Thiam, Friedhelm Schwenker, Elisabeth André, 2019, IEEE Transactions on Affective Computing.

Modeling perspective-taking upon observation of 3D biological motion

Martin V. Butz, Heiko Neumann, Fabian Schrodt, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

An audiovisual political speech analysis incorporating eye-tracking and perception data

John Kane, Nick Campbell, Heiko Neumann, 2012, LREC.

Continuous activity understanding based on accumulative pose-context visual patterns

Yan Zhang, Heiko Neumann, Georg Layher, 2017, 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA).

Evaluating the Comprehensibility of Graphical Business Process Models – An Eye Tracking Study

Manfred Reichert, Rüdiger Pryss, Michael Zimoch, 2017 .

Detection of Head Pose and Gaze Direction for Human-Computer Interaction

Heiko Neumann, Ulrich Weidenbacher, Pierre Bayerl, 2006, PIT.

The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System

Patrick Thiam, Sascha Meudt, Friedhelm Schwenker, 2016, MPRSS.

Learning Representations for Animated Motion Sequence and Implied Motion Recognition

Martin A. Giese, Heiko Neumann, Georg Layher, 2012, ICANN.

Fully Convolutional Region Proposal Networks for Multispectral Person Detection

Heiko Neumann, Michael Teutsch, Michael Adam, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A Biologically Inspired Model for the Detection of External and Internal Head Motions

Stephan Tschechne, Heiko Neumann, Georg Layher, 2013, ICANN.

Real-Time Biologically Inspired Action Recognition from Key Poses Using a Neuromorphic Architecture

Tobias Brosch, Heiko Neumann, Georg Layher, 2017, Front. Neurorobot..

Combining form and motion - an integrated approach for learning biological motion representations

Heiko Neumann, Georg Layher, H. Neumann, 2013 .

Utilizing the Capabilities Offered by Eye-Tracking to Foster Novices' Comprehension of Business Process Models

Manfred Reichert, Rüdiger Pryss, Michael Zimoch, 2018, ICCC.

Learning Representations of Animated Motion Sequences - A Neural Model

Martin A. Giese, Heiko Neumann, Georg Layher, 2014, Top. Cogn. Sci..

What, where, and when? Mechanisms of learning biological motion representations

Georg Layher, 2019 .

Neural mechanisms of action recognition and implied motion

Heiko Neumann, Georg Layher, H. Neumann, 2012 .

A comprehensive head pose and gaze database

Heiko Neumann, Ulrich Weidenbacher, P.-M. Strauss, 2007 .

A generic framework for the inference of user states in human computer interaction

Günther Palm, Friedhelm Schwenker, Tobias Brosch, 2012, Journal on Multimodal User Interfaces.

Multi-Modal Classifier-Fusion for the Recognition of Emotions

Sascha Meudt, Günther Palm, Friedhelm Schwenker, 2013 .

Robust Stereoscopic Head Pose Estimation in Human-Computer Interaction and a Unified Evaluation Framework

Heiko Neumann, Ayoub Al-Hamadi, Bernd Michaelis, 2011, ICIAP.

uulmMAD - A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances

Günther Palm, Friedhelm Schwenker, Heiko Neumann, 2014, MPRSS.

Visual Confusion Recognition in Movement Patterns from Walking Path and Motion Energy

Yan Zhang, Heiko Neumann, Steffen Walter, 2017, ICOST.

Social Signal Processing in Companion Systems - Challenges Ahead

Tobias Brosch, Stephan Tschechne, Heiko Neumann, 2011, GI-Jahrestagung.

Identifying Features of Bodily Expression As Indicators of Emotional Experience during Multimedia Learning

Julian Frommel, Claudia Schrader, Valentin Riemer, 2017, Front. Psychol..