D. Sanchez-Cortes and O. Aran and D.  Jayagopi and M.  Schmid Mast and D. . . . → Read More: Emergent leaders through looking and speaking: from audio-visual data to multimodal recognition

D. Klotz, J. Wienke, B. Wrede, S. Wrede, S. Sheikhi, D. Jayagopi, V. Khalidov, . . . → Read More: Robot-to-Group Interaction in a Vernissage: Architecture and Dataset for Multi-Party Dialog

S. Sheikhi and V. Khalidov and J.-M. Odobez

IROS workshop on Human Behavior Understanding, . . . → Read More: Recognizing the Visual Focus of Attention for Human Robot Interaction

Jayagopi, D. and Sanchez-Cortes, D. and Otsuka, K. and Yamato, J. and Gatica-Perez, D.

. . . → Read More: Linking speaking and looking behavior patterns with group composition, perception, and performance

S. Duffner and J.-M. Odobez

A Track Creation and Deletion Framework for Long-Term Online . . . → Read More: A Track Creation and Deletion Framework for Long-Term Online Multi-Face Tracking

K. Funes and J.-M. Odobez

CVPR Workshop on Face and Gesture and Kinect demonstration . . . → Read More: Gaze estimation from multimodal Kinect data

D. Jayagopi and J.-M. Odobez

Given that, Should I Respond? Contextual Addressee Estimation in . . . → Read More: Given that, Should I Respond? Contextual Addressee Estimation in Multi-Party Human-Robot Interactions

D. Jayagopi and S. Sheikhi and D. Klotz and J. Wienke and J.-M. Odobez . . . → Read More: The Vernissage Corpus: A Conversational Human-Robot Interaction Dataset

L. Nguyen and J.-M. Odobez and D. Gatica-Perez

ACM Int Conf. on Multimodal Interaction . . . → Read More: Using Self-Context for Multimodal Detection of Head Nods in Face-to-Face Interactions

SheikhiOdobez-ICMI2012

S. Sheikhi and J.-M. Odobez, ACM Int Conf. on Multimodal Interaction (ICMI) . . . → Read More: Investigating the Midline Effect for Visual Focus of Attention Recognition

Wienke, J., A. Nordmann, and S. Wrede, “A Meta-Model and Toolchain for Improved Interoperability of Robotic . . . → Read More: A Meta-Model and Toolchain for Improved Interoperability of Robotic Frameworks

Wienke, J., D. Klotz, and S. Wrede, “A Framework for the Acquisition of Multimodal . . . → Read More: A Framework for the Acquisition of Multimodal Human-Robot Interaction Data Sets with a Whole-System Perspective

S. Duffner and J.-M. Odobez, IEEE Conference on Automatic Face and Gesture Recognition, Santa . . . → Read More: Exploiting Long-Term Observations for Track Creation and Deletion in Online Multi-Face Tracking

Carl Scheffler and Jean-Marc Odobez, British Machine Vision Conference (BMVC), Aberdeen, August 2011. Pdf of Main . . . → Read More: Joint Adaptive Colour Modelling and Skin, Hair and Clothing Segmentation Using Coherent Probabilistic Index Maps

Jan Heller, Michal Havlena, Akihiro Sugimoto and Tomas Pajdla. Structure-from-Motion Based Hand-Eye Calibration Using . . . → Read More: Structure-from-Motion Based Hand-Eye Calibration Using L-infty Minimization

Antoine Deleforge and Radu P. Horaud. The Cocktail Party Robot: Sound Source Separation and . . . → Read More: The Cocktail Party Robot: Sound Source Separation and Localisation with an Active Binaural Head

Xavier Alameda-Pineda, Jordi Sanchez-Riera, Johannes Wienke, Vojtech Franc,  Jan Cech, Kaustubh Kulkarni, Antoine Deleforge, . . . → Read More: RAVEL: An Annotated Corpus for Training Robots with Audiovisual Abilities

Xavi Alameda-Pineda, Vasil Khalidov, Radu Horaud and Florence Forbes. Finding Audio-Visual Events in Informal . . . → Read More: Finding Audio-Visual Events in Informal Social Gatherings

J. Wienke, S. Wrede. “A Middleware for Collaborative Research in Experimental Robotics”. IEEE/SICE International . . . → Read More: A Middleware for Collaborative Research in Experimental Robotics

D. Klotz, J. Wienke, J. Peltason, B. Wrede, S. Wrede, V. Khalidov, and J. . . . → Read More: Engagement-based Multi-party Dialog with a Humanoid Robot

David Klotz, Modeling Engagement in a Multi-Party Human-Robot Dialog, M.Sc. thesis, Bielefeld University, 2010

S. Ba and J.-M. Odobez, IEEE Trans. on Pattern Analysis and Machine Intelligence, . . . → Read More: Multi-Person Visual Focus of Attention from Head Pose and Meeting Contextual Cues

A. Shekhovtsov, V. Hlavac. Joint Image GMM and Shading MAP Estimation. ICPR2010: Proceedings of . . . → Read More: Joint Image GMM and Shading MAP Estimation

Stepan Krivanec, Alena Petrackova, Tran Thi Phuong Linh, and Daniel Prusa. Nao Robot Applications . . . → Read More: Nao Robot Applications Developed In Choregraphe Environment

Simon Fojtu and Daniel Prusa. Demo Applications for Humanoid Robot Asterix. Research Report CTU-CMP-2010-20, . . . → Read More: Demo Applications for Humanoid Robot Asterix

Michal Havlena, Simon Fojtu, Daniel Prusa, and Tomas Pajdla. Towards Robot Localization and Obstacle . . . → Read More: Towards Robot Localization and Obstacle Avoidance from Nao Camera

Michal Havlena, Akihiko Torii, and Tomas Pajdla. Efficient Structure from Motion by Graph Optimization. . . . → Read More: Efficient Structure from Motion by Graph Optimization

S. Sonnenburg, V.Franc. COFFIN: A Computational Framework for Linear SVMs. Proceedings of the 27th . . . → Read More: COFFIN: A Computational Framework for Linear SVMs

Johannes Wienke, A Spatio-temporal Working Memory for Humanoid Robots, M.Sc. thesis, Bielefeld University, . . . → Read More: A Spatio-temporal Working Memory for Humanoid Robots

Vasil Khalidov, Florence Forbes and Radu Horaud. Conjugate Mixture Models for Clustering Multimodal Data. . . . → Read More: Conjugate Mixture Models for Clustering Multimodal Data

Antoine Deleforge and Radu Horaud. Learning The Direction of a Sound Source Using Head . . . → Read More: Learning the Direction of a Sound Source Using Head Motions and Spectral Features

Jan Cech, Jordi Sanchez-Rieira, and Radu Horaud. Scene Flow Estimation by Growing Correspondence Seeds. . . . → Read More: Scene Flow Estimation by Growing Correspondence Seeds

Kaustubh Kulkarni, Edmond Boyer, Radu Horaud and Amit Kale. An Unsupervised Framework for Action . . . → Read More: An Unsupervised Framework for Action Recognition Using Actemes