Video analysis tasks such as action recognition have received increasing research interest
with growing applications in fields such as smart healthcare, thanks to the introduction of …

Identifying the direction of emotional influence in a dyadic dialogue is of increasing interest
in the psychological sciences with applications in psychotherapy, analysis of political …

We concentrate on modeling the person-person interactions for group activity recognition. In
order to solve the complexity and ambiguity problems caused by a large number of human …

In this paper we describe an action/interaction detection system based on improved dense
trajectories [19], multiple visual descriptors and bag-of-features representation. Given that …

Social group detection is a crucial aspect of various robotic applications, including robot
navigation and human-robot interactions. To date, a range of model-based techniques have …

Human behavior and affect is inherently a dynamic phenomenon involving temporal
evolution of patterns manifested through a multiplicity of non-verbal behavioral cues …

This paper considers the problem of identifying sparse dynamical graphical models from
input/output data. Our main result shows that this problem can be recast into an expanded …

Recognizing time-varying object states in complex tasks is an important and challenging
issue. In this paper, we propose a novel model to jointly infer object fluents and complex …

Many physical phenomena, within short time windows, can be explained by low order
differential relations. In a discrete world, these relations can be described using low order …

As aerospace systems grow to incorporate multi-agent systems with both dynamics and
nontrivial neighbor interactions, identifying network topologies from observed data is a …