- Combining dynamic head pose–gaze mapping with the robot conversational state for attention recognition in human–robot interactions, S Sheikhi, JM Odobez, Pattern Recognition Letters 66, 81-90
- Who will get the grant?: A multimodal corpus for the analysis of conversational behaviours in group interviews
C Oertel, KA Funes Mora, S Sheikhi, JM Odobez, J Gustafson
Proceedings of the 2014 workshop on Understanding and Modeling Multiparty …
- Who will get the grant, C Oertel, K Funes, S Sheikhi, JM Odobez, J Gustafson, Int. Conf. on Multimodal Interaction Workshop (UMMI)
- Inferring Visual Attention and Addressee in Human Robot Interaction, S Sheikhi, École Polytechnique Fédérale de Lausanne (EPFL)
- Context aware addressee estimation for human robot interaction S Sheikhi, D Babu Jayagopi, V Khalidov, JM Odobez Proceedings of the 6th workshop on Eye gaze in intelligent human machine
- Leveraging the robot dialog state for visual focus of attention recognition, S Sheikhi, V Khalidov, D Klotz, B Wrede, JM Odobez, Proceedings of the 15th ACM on International conference on multimodal
- The vernissage corpus: A conversational human-robot-interaction dataset, DB Jayagopi, S Sheiki, D Klotz, J Wienke, JM Odobez, S Wrede, 2013 8th ACM/IEEE International Conference on Human-Robot Interaction
- Investigating the midline effect for visual focus of attention recognition, S Sheikhi, JM Odobez, Proceedings of the 14th ACM international conference on Multimodal
- Recognizing the visual focus of attention for human robot interaction, S Sheikhi, JM Odobez, International Workshop on Human Behavior Understanding, 99-112
- Robot-to-Group Interaction in a Vernissage: Architecture & Dataset for Multi-Party Dialog
D Klotz, J Wienke, B Wrede, S Wrede, S Sheikhi, DB Jayagopi, V Khalidov,
- The vernissage corpus: A multimodal human-robot-interaction dataset, DB Jayagopi, S Sheikhi, D Klotz, J Wienke, JM Odobez, S Wrede.
- Evaluation of background subtraction methods
S Panahi, S Sheikhi, S Hadadan, N Gheissari
2008 Digital Image Computing: Techniques and Applications, 357-364