May 11th, 2015

"Dynamical aspects in biological data : 5D imaging" by Thomas Boudier

Dynamics aspects are essential in biological phenomena,especially in early embryogenesis.
The embryo starts with one cell and after series of cellular division (called mitosis), a fully formed specimen is formed. Following the cells and detecting the mitotic events are then key points in developmental biology since any change in the timing or direction of mitosis indicates a defect in the development. Two major issues in image processing are then detection and tracking of the cells, usually the two steps are done separately, can we do them together and then improve efficiency of both processes ?

"Retrieving episodic memories from first person view" by Ana Garcia del Molino

Our life is becoming heavily documented and expressed on the digital substrate, which leads to an increasing demand of multimedia analysis tools. This data is worthless without the ability to organize the episodic memories and retrieve related information when required. Previous systems for information retrieval from first-person-view (FPV) rely on purely visual features, leaving aside the semantic information and failing to extract the personal nature of FPV videos. What if we could have a system capable of organizing and retrieving our digital memories based on their semantic similarity to a given video query? Such a system would be useful for a wide range of applications for life logging: from personal memory retrieval given a video or text query, to egocentric video summarization.

"Towards the synthetic self: making others perceive me as an other" by Stéphane Lallée

Future applications of robotic technologies will involve interactions with non-expert humans as machines will assume the role of companions, teachers or healthcare assistants. In all those tasks social behavior is a key ability that needs to be systematically investigated and modeled at the lowest level, as even a minor inconsistency of the robot’s behavior can greatly affect the way humans will perceive it and react to it. Here we propose an integrated architecture for generating a socially competent robot. We validate our architecture using a humanoid robot, demonstrating that gaze, eye contact and utilitarian emotions play an essential role in the psychological validity or social salience of Human-Robot Interaction (HRI). We show that this social salience affects both the empathic bonding between the human and a humanoid robot and, to a certain extent, the attribution of a Theory of Mind (ToM). More specifically, we investigate whether these social cues affect other utilitarian aspects of the interaction such as knowledge transfer within a teaching context.

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