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Compute to tell the tale: Goal-driven narrative generation
Man is by nature a social animal. One important facet of human evolution is through
narrative imagination, be it fictional or factual, and to tell the tale to other individuals. The …
narrative imagination, be it fictional or factual, and to tell the tale to other individuals. The …
Co-located human–human interaction analysis using nonverbal cues: A survey
Automated co-located human–human interaction analysis has been addressed by the use of
nonverbal communication as measurable evidence of social and psychological phenomena …
nonverbal communication as measurable evidence of social and psychological phenomena …
Salsa: A novel dataset for multimodal group behavior analysis
Studying free-standing conversational groups (FCGs) in unstructured social settings (eg,
cocktail party) is gratifying due to the wealth of information available at the group (mining …
cocktail party) is gratifying due to the wealth of information available at the group (mining …
F-formation detection: Individuating free-standing conversational groups in images
Detection of groups of interacting people is a very interesting and useful task in many
modern technologies, with application fields spanning from video-surveillance to social …
modern technologies, with application fields spanning from video-surveillance to social …
Feature correlation hypergraph: exploiting high-order potentials for multimodal recognition
L Zhang, Y Gao, C Hong, Y Feng… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
In computer vision and multimedia analysis, it is common to use multiple features (or
multimodal features) to represent an object. For example, to well characterize a natural …
multimodal features) to represent an object. For example, to well characterize a natural …
Uncovering interactions and interactors: Joint estimation of head, body orientation and f-formations from surveillance videos
We present a novel approach for jointly estimating tar-gets' head, body orientations and
conversational groups called F-formations from a distant social scene (eg, a cocktail party …
conversational groups called F-formations from a distant social scene (eg, a cocktail party …
Long-tail hashtag recommendation for micro-videos with graph convolutional network
Hashtags, a user provides to a micro-video, are the ones which can well describe the
semantics of the micro-video's content in his/her mind. At the same time, hashtags have …
semantics of the micro-video's content in his/her mind. At the same time, hashtags have …
Detecting conversational groups in images and sequences: A robust game-theoretic approach
Detecting groups is becoming of relevant interest as an important step for scene (and
especially activity) understanding. Differently from what is commonly assumed in the …
especially activity) understanding. Differently from what is commonly assumed in the …
Improving social awareness through dante: Deep affinity network for clustering conversational interactants
We propose a data-driven approach to detect conversational groups by identifying spatial
arrangements typical of these focused social encounters. Our approach uses a novel Deep …
arrangements typical of these focused social encounters. Our approach uses a novel Deep …
Parallel detection of conversational groups of free-standing people and tracking of their lower-body orientation
Appropriate robot behavior in public, open spaces cannot occur without the ability to
automatically detect conversational groups of free-standing people. To this end, we propose …
automatically detect conversational groups of free-standing people. To this end, we propose …