Image based human detection is of paramount interest due to its potential applications in fields such as advanced driving assistance, surveillance and media analysis. However, even detecting non-occluded standing humans remains a challenge of intensive ...

Personality plays an important role in the way people manage the images they convey in self-presentations and employment interviews, trying to affect the other"s first impressions and increase effectiveness. This paper addresses the automatically ...

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 multimodal clustering algorithm based on a Gaussian ...

Multimodal Interfaces that enable natural means of interaction using multiple modalities such as touch, hand gestures, speech, and facial expressions represent a paradigm shift in human-computer interfaces. Their aim is to allow rich and intuitive ...

The role of context in recognizing a person's affect is being increasingly studied. In particular, context arising from the presence of multi-modal information such as faces, speech and head pose has been used in recent studies to recognize facial ...

In the past, collecting data to train facial expression and affect recognition systems has been time consuming and often led to data that do not include spontaneous expressions. We present the first crowdsourced data collection of dynamic, natural and ...

There is a great need for programs that can describe what people are doing from video. Among other applications, such programs could be used to search for scenes in consumer video; in surveillance applications; to support the design of buildings and of ...