Compute to tell the tale: Goal-driven narrative generation

Y Wong, S Fan, Y Guo, Z Xu, K Stephen… - Proceedings of the 30th …, 2022 - dl.acm.org
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 …

Co-located human–human interaction analysis using nonverbal cues: A survey

C Beyan, A Vinciarelli, AD Bue - ACM Computing Surveys, 2023 - dl.acm.org
Automated co-located human–human interaction analysis has been addressed by the use of
nonverbal communication as measurable evidence of social and psychological phenomena …

Salsa: A novel dataset for multimodal group behavior analysis

X Alameda-Pineda, J Staiano… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
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 …

F-formation detection: Individuating free-standing conversational groups in images

F Setti, C Russell, C Bassetti, M Cristani - PloS one, 2015 - journals.plos.org
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 …

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 …

Uncovering interactions and interactors: Joint estimation of head, body orientation and f-formations from surveillance videos

E Ricci, J Varadarajan, R Subramanian… - Proceedings of the …, 2015 - cv-foundation.org
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 …

Long-tail hashtag recommendation for micro-videos with graph convolutional network

M Li, T Gan, M Liu, Z Cheng, J Yin, L Nie - Proceedings of the 28th ACM …, 2019 - dl.acm.org
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 …

Detecting conversational groups in images and sequences: A robust game-theoretic approach

S Vascon, EZ Mequanint, M Cristani, H Hung… - Computer Vision and …, 2016 - Elsevier
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 …

Improving social awareness through dante: Deep affinity network for clustering conversational interactants

M Swofford, J Peruzzi, N Tsoi, S Thompson… - Proceedings of the …, 2020 - dl.acm.org
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 …

Parallel detection of conversational groups of free-standing people and tracking of their lower-body orientation

M Vázquez, A Steinfeld… - 2015 IEEE/RSJ …, 2015 - ieeexplore.ieee.org
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 …