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Found 11 papers, 3 papers with code
REWIND Dataset: Privacy-preserving Speaking Status Segmentation from Multimodal Body Movement Signals in the Wild
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.
Ensemble Learning to Assess Dynamics of Affective Experience Ratings and Physiological Change
The congruence between affective experiences and physiological changes has been a debated topic for centuries.
Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces
Recent advances in synthesizing realistic faces have shown that synthetic training data can replace real data for various face-related computer vision tasks.
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts
In this work, we introduce and address the following question: given a probabilistic forecasting model how can we identify observed windows that the model considers salient when making its forecasts?
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild
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.
3D face reconstruction with dense landmarks
By fitting a morphable model to these dense landmarks, we achieve state-of-the-art results for monocular 3D face reconstruction in the wild.
Ranked #1 on
3D Face Reconstruction
on Florence
(RMSE Indoor metric)
Towards a Real-time Measure of the Perception of Anthropomorphism in Human-robot Interaction
43 English-speaking participants took part in the study for whom we analysed the degree of acoustic-prosodic entrainment to the human or robot face, respectively.
Social Processes: Self-Supervised Meta-Learning over Conversational Groups for Forecasting Nonverbal Social Cues
In this way, an SP model learns to adapt its forecasts to the unique dynamics of the interacting partners, generalizing to unseen groups in a data-efficient manner.
A Modular Approach for Synchronized Wireless Multimodal Multisensor Data Acquisition in Highly Dynamic Social Settings
In this work, we propose a modular and cost-effective wireless approach for synchronized multisensor data acquisition of social human behavior.
Towards automatic estimation of conversation floors within F-formations
We motivate a metric for the existence of distinct conversation floors based on simultaneous speaker turns, and provide an analysis using this metric to characterize conversations across F-formations of varying cardinality.
Multimodal Polynomial Fusion for Detecting Driver Distraction
Distracted driving is deadly, claiming 3, 477 lives in the U. S. in 2015 alone.
