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In this paper we address the problem of detecting and localizing objects that can be both seen and heard, e.g., people. This may be solved within the framework of data clustering. We propose a new… (More)
- David Klotz, Johannes Wienke, +4 authors Jean-Marc Odobez
- SIGDIAL Conference
- 2011
When a robot is situated in an environment containing multiple possible interaction partners, it has to make decisions about when to engage specific users and how to detect and react appropriately to… (More)
- Dinesh Babu Jayagopi, Samira Sheikhi, +7 authors Daniel Gatica-Perez
- 8th ACM/IEEE International Conference on Human…
- 2013
We introduce a new conversational Human-Robot-Interaction (HRI) dataset with a real-behaving robot inducing interactive behavior with and between humans. Our scenario involves a humanoid robot NAO1… (More)
- Zeming Lin, Jonas Gehring, Vasil Khalidov, Gabriel Synnaeve
- AIIDE
- 2017
We release a dataset of 65646 StarCraft replays that contains 1535 million frames and 496 million player actions. We provide full game state data along with the original replays that can be viewed in… (More)
- Vasil Khalidov, Florence Forbes, Radu Horaud
- Neural Computation
- 2011
The problem of multimodal clustering arises whenever the data are gathered with several physically different sensors. Observations from different modalities are not necessarily aligned in the sense… (More)
- Elise Arnaud, Heidi Christensen, +9 authors Radu Horaud
- ICMI
- 2008
This paper describes the acquisition and content of a new multi-modal database. Some tools for making use of the data streams are also presented. The Computational Audio-Visual Analysis (CAVA)… (More)
- Dinesh Babu Jayagopi, Samira Sheikhi, +7 authors Daniel Gatica-Perez
- 2012
We introduce a new multimodal interaction dataset with extensive annotations in a conversational Human-Robot-Interaction (HRI) scenario. It has been recorded and annotated to benchmark many relevant… (More)
This paper addresses the issues of detecting and localizing objects in a scene that are both seen and heard. We explain the benefits of a human-like configuration of sensors (binaural and binocular)… (More)
We address the task of monocular visual head tracking in the context of applications that involve human-robot interactions, where both near field and far field tracking settings could occur and… (More)
We address the issue of identifying and localizing individuals in a scene that contains several people engaged in conversation. We use a h man-like configuration of sensors (binaural and binocular)… (More)