Search Results for author: Stephanie Tan

Found 5 papers, 1 papers with code

Improving Temporal Interpolation of Head and Body Pose using Gaussian Process Regression in a Matrix Completion Setting

no code implementations6 Aug 2018 Stephanie Tan, Hayley Hung

As well as fitting a more flexible model to missing labels in time, we posit that our approach also loosens the head and body coupling constraint, allowing for a more expressive model of the head and body pose typically seen during conversational interaction in groups.

Matrix Completion Missing Labels +1

A Modular Approach for Synchronized Wireless Multimodal Multisensor Data Acquisition in Highly Dynamic Social Settings

no code implementations9 Aug 2020 Chirag Raman, Stephanie Tan, Hayley Hung

In this work, we propose a modular and cost-effective wireless approach for synchronized multisensor data acquisition of social human behavior.

ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild

1 code implementation10 May 2022 Chirag Raman, Jose Vargas-Quiros, Stephanie Tan, Ashraful Islam, Ekin Gedik, Hayley Hung

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, data fidelity, and logistical overheads.

Privacy Preserving

Conversation Group Detection With Spatio-Temporal Context

no code implementations2 Jun 2022 Stephanie Tan, David M. J. Tax, Hayley Hung

These affinity values are also continuous in time, since relationships and group membership do not occur instantaneously, even though the ground truths of group membership are binary.

Graph Clustering

REWIND Dataset: Privacy-preserving Speaking Status Segmentation from Multimodal Body Movement Signals in the Wild

no code implementations2 Mar 2024 Jose Vargas Quiros, Chirag Raman, Stephanie Tan, Ekin Gedik, Laura Cabrera-Quiros, Hayley Hung

In addition to providing the signals and ground truth necessary to evaluate a wide range of speaking status detection methods, the availability of audio in REWIND makes it suitable for cross-modality studies not feasible with previous mingling datasets.

Privacy Preserving

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