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03/30/2022
Device-Directed Speech Detection: Regularization via Distillation for Weakly-Supervised Models
We address the problem of detecting speech directed to a device that doe...
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10/09/2021
Streaming on-device detection of device directed speech from voice and touch-based invocation
When interacting with smart devices such as mobile phones or wearables, ...
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01/26/2021
Toward Personalized Affect-Aware Socially Assistive Robot Tutors in Long-Term Interventions for Children with Autism
Affect-aware socially assistive robotics (SAR) has shown great potential...
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01/12/2021
Personalized Federated Deep Learning for Pain Estimation From Face Images
Standard machine learning approaches require centralizing the users' dat...
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06/07/2019
Multi-modal Active Learning From Human Data: A Deep Reinforcement Learning Approach
Human behavior expression and experience are inherently multi-modal, and...
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04/19/2019
Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes
We introduce a novel personalized Gaussian Process Experts (pGPE) model ...
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10/26/2018
Unsupervised Multi-Target Domain Adaptation: An Information Theoretic Approach
Unsupervised domain adaptation (uDA) models focus on pairwise adaptation...
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03/01/2018
Multi-Instance Dynamic Ordinal Random Fields for Weakly-supervised Facial Behavior Analysis
We propose a Multi-Instance-Learning (MIL) approach for weakly-supervise...
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02/04/2018
Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy
Robots have great potential to facilitate future therapies for children ...
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11/10/2017
Physiological and behavioral profiling for nociceptive pain estimation using personalized multitask learning
Pain is a subjective experience commonly measured through patient's self...
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09/29/2017
Unsupervised Domain Adaptation with Copula Models
We study the task of unsupervised domain adaptation, where no labeled da...
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06/22/2017
Personalized Automatic Estimation of Self-reported Pain Intensity from Facial Expressions
Pain is a personal, subjective experience that is commonly evaluated thr...
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04/07/2017
DeepCoder: Semi-parametric Variational Autoencoders for Automatic Facial Action Coding
Human face exhibits an inherent hierarchy in its representations (i.e., ...
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09/06/2016
Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation
In this paper, we address the Multi-Instance-Learning (MIL) problem when...
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08/16/2016
Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units
We address the task of simultaneous feature fusion and modeling of discr...
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04/11/2016
Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis
We present a novel approach for supervised domain adaptation that is bas...
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10/13/2015
Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection
Automated recognition of facial expressions of emotions, and detection o...
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01/22/2013