11 citations · 17 across the 7 of their papers we have counts for
7 papers
Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition
Linyun Xiang, Mark Neerincx, Stephanie Tan
Existing text summarization research has focused much on monologic information (e.g., newspaper articles, reports) without accounting for the interaction between speakers or author…
COSI-Lab: Conference Living Lab for Modeling Multi-Perspective Multimodal Social Intention
Zonghuan Li, Litian Li, Arthur Mercier +17
COSI-Lab presents a multimodal multi-sensor dataset of a real interdisciplinary scientific workshop with 32 academics at an international conference. It captures ecologically valid…
REWIND Dataset: Privacy-preserving Speaking Status Segmentation from Multimodal Body Movement Signals in the Wild
Jose Vargas Quiros, Chirag Raman, Stephanie Tan +3
Recognizing speaking in humans is a central task towards understanding social interactions. Ideally, speaking would be detected from individual voice recordings, as done previously…
Conversation Group Detection With Spatio-Temporal Context
Stephanie Tan, David M. J. Tax, Hayley Hung
In this work, we propose an approach for detecting conversation groups in social scenarios like cocktail parties and networking events, from overhead camera recordings. We posit th…
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild
Chirag Raman, Jose Vargas-Quiros, Stephanie Tan +3
Recording the dynamics of unscripted human interactions in the wild is challenging due to the delicate trade-offs between several factors: participant privacy, ecological validity,…
A Modular Approach for Synchronized Wireless Multimodal Multisensor Data Acquisition in Highly Dynamic Social Settings
Chirag Raman, Stephanie Tan, Hayley Hung
Existing data acquisition literature for human behavior research provides wired solutions, mainly for controlled laboratory setups. In uncontrolled free-standing conversation setti…
Improving Temporal Interpolation of Head and Body Pose using Gaussian Process Regression in a Matrix Completion Setting
Stephanie Tan, Hayley Hung
This paper presents a model for head and body pose estimation (HBPE) when labelled samples are highly sparse. The current state-of-the-art multimodal approach to HBPE utilizes the…