b'Daniel McDuff'

research

∙ 08/03/2023

The Capability of Large Language Models to Measure Psychiatric Functioning

The current work investigates the capability of Large language models (L...

0 Isaac R Galatzer-Levy, et al. ∙

research

∙ 07/11/2023

Research Protocol for the Google Health Digital Well-being Study

The impact of digital device use on health and well-being is a pressing ...

0 Daniel McDuff, et al. ∙

research

∙ 05/24/2023

Large Language Models are Few-Shot Health Learners

Large language models (LLMs) can capture rich representations of concept...

0 Xin Liu, et al. ∙

research

∙ 04/23/2023

"Can't Take the Pressure?": Examining the Challenges of Blood Pressure Estimation via Pulse Wave Analysis

The use of observed wearable sensor data (e.g., photoplethysmograms [PPG...

0 Suril Mehta, et al. ∙

research

∙ 04/22/2023

A Review of Deep Learning for Video Captioning

Video captioning (VC) is a fast-moving, cross-disciplinary area of resea...

0 Moloud Abdar, et al. ∙

research

∙ 04/06/2023

Synthetic Data in Healthcare

Synthetic data are becoming a critical tool for building artificially in...

0 Daniel McDuff, et al. ∙

research

∙ 03/21/2023

Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing

Machine learning models for camera-based physiological measurement can h...

0 Akshay Paruchuri, et al. ∙

research

∙ 03/21/2023

BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements

Understanding of human visual perception has historically inspired the d...

0 Girish Narayanswamy, et al. ∙

research

∙ 02/08/2023

MMPD: Multi-Domain Mobile Video Physiology Dataset

Remote photoplethysmography (rPPG) is an attractive method for noninvasi...

0 Jiankai Tang, et al. ∙

research

∙ 10/03/2022

Deep Physiological Sensing Toolbox

Camera physiological measurement is a fast growing field of computer vis...

53 Xin Liu, et al. ∙

research

∙ 06/08/2022

SCAMPS: Synthetics for Camera Measurement of Physiological Signals

The use of cameras and computational algorithms for noninvasive, low-cos...

22 Daniel McDuff, et al. ∙

research

∙ 03/11/2022

Federated Remote Physiological Measurement with Imperfect Data

The growing need for technology that supports remote healthcare is being...

50 Xin Liu, et al. ∙

research

∙ 01/11/2022

MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing

Camera-based contactless photoplethysmography refers to a set of popular...

8 Xin Liu, et al. ∙

research

∙ 11/22/2021

Camera Measurement of Physiological Vital Signs

The need for remote tools for healthcare monitoring has never been more ...

0 Daniel McDuff, et al. ∙

research

∙ 10/26/2021

Camera-Based Physiological Sensing: Challenges and Future Directions

Numerous real-world applications have been driven by the recent algorith...

15 Xin Liu, et al. ∙

research

∙ 10/10/2021

Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing

Synthetic data is a powerful tool in training data hungry deep learning ...

0 Daniel McDuff, et al. ∙

research

∙ 10/09/2021

EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Vitals Measurement

Camera-based physiological measurement is a growing field with neural mo...

6 Xin Liu, et al. ∙

research

∙ 10/07/2021

Learning Higher-Order Dynamics in Video-Based Cardiac Measurement

Computer vision methods typically optimize for first-order dynamics (e.g...

0 Brian L. Hill, et al. ∙

research

∙ 04/07/2021

Contrastive Learning of Global and Local Audio-Visual Representations

Contrastive learning has delivered impressive results in many audio-visu...

0 Shuang Ma, et al. ∙

research

∙ 03/14/2021

"Warm Bodies": A Post-Processing Technique for Animating Dynamic Blood Flow on Photos and Avatars

What breathes life into an embodied agent or avatar? While body motions ...

0 Daniel McDuff, et al. ∙

research

∙ 03/03/2021

DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization

Facial action unit recognition has many applications from market researc...

1 Javier Hernandez, et al. ∙

research

∙ 01/28/2021

AffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations

The ability to monitor audience reactions is critical when delivering pr...

0 Prasanth Murali, et al. ∙

research

∙ 01/28/2021

DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents

Creating presentation materials requires complex multimodal reasoning sk...

0 Tsu-Jui Fu, et al. ∙

research

∙ 11/04/2020

Behavioral Use Licensing for Responsible AI

Scientific research and development relies on the sharing of ideas and a...

0 Danish Contractor, et al. ∙

research

∙ 10/24/2020

Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars

Non-contact physiological measurement has the potential to provide low-c...

0 Daniel McDuff, et al. ∙

research

∙ 10/14/2020

The Benefit of Distraction: Denoising Remote Vitals Measurements using Inverse Attention

Attention is a powerful concept in computer vision. End-to-end networks ...

0 Ewa Nowara, et al. ∙

research

∙ 10/12/2020

Spectral Synthesis for Satellite-to-Satellite Translation

Earth observing satellites carrying multi-spectral sensors are widely us...

0 Thomas Vandal, et al. ∙

research

∙ 10/05/2020

MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement

There are large individual differences in physiological processes, makin...

10 Xin Liu, et al. ∙

research

∙ 06/06/2020

Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement

Telehealth and remote health monitoring have become increasingly importa...

0 Xin Liu, et al. ∙

research

∙ 12/21/2019

Do Facial Expressions Predict Ad Sharing? A Large-Scale Observational Study

People often share news and information with their social connections, b...

4 Daniel McDuff, et al. ∙

research

∙ 12/01/2019

Affect-based Intrinsic Rewards for Learning General Representations

Positive affect has been linked to increased interest, curiosity and sat...

24 Dean Zadok, et al. ∙

research

∙ 11/14/2019

A Scalable Approach for Facial Action Unit Classifier Training UsingNoisy Data for Pre-Training

Machine learning systems are being used to automate many types of labori...

35 Alberto Fung, et al. ∙

research

∙ 10/25/2019

Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency

Current multi-reference style transfer models for Text-to-Speech (TTS) p...

0 Matt Whitehill, et al. ∙

research

∙ 10/16/2019

Designing Style Matching Conversational Agents

Advances in machine intelligence have enabled conversational interfaces ...

0 Deepali Aneja, et al. ∙

research

∙ 09/19/2019

A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities

Embodied avatars as virtual agents have many applications and provide be...

0 Deepali Aneja, et al. ∙

research

∙ 08/19/2019

Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck

Deep generative models have led to significant advances in cross-modal g...

8 Shuang Ma, et al. ∙

research

∙ 07/23/2019

Towards Understanding Emotional Intelligence for Behavior Change Chatbots

A natural conversational interface that allows longitudinal symptom trac...

0 Asma Ghandeharioun, et al. ∙

research

∙ 07/09/2019

M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention

Generative adversarial networks have led to significant advances in cros...

0 Shuang Ma, et al. ∙

research

∙ 04/04/2019

An End-to-End Conversational Style Matching Agent

We present an end-to-end voice-based conversational agent that is able t...

0 Rens Hoegen, et al. ∙

research

∙ 03/28/2019

A Multimodal Emotion Sensing Platform for Building Emotion-Aware Applications

Humans use a host of signals to infer the emotional state of others. In ...

0 Daniel McDuff, et al. ∙

research

∙ 01/14/2019

iPhys: An Open Non-Contact Imaging-Based Physiological Measurement Toolbox

Imaging-based, non-contact measurement of physiology (including imaging ...

0 Daniel McDuff, et al. ∙

research

∙ 12/29/2018

EMMA: An Emotionally Intelligent Personal Assistant for Improving Wellbeing

The delivery of mental health interventions via ubiquitous devices has s...

0 Asma Ghandeharioun, et al. ∙

research

∙ 09/30/2018

Identifying Bias in AI using Simulation

Machine learned models exhibit bias, often because the datasets used to ...

0 Daniel McDuff, et al. ∙

research

∙ 08/09/2018

DeepMag: Source Specific Motion Magnification Using Gradient Ascent

Many important physical phenomena involve subtle signals that are diffic...

2 Weixuan Chen, et al. ∙

research

∙ 05/25/2018

Visceral Machines: Reinforcement Learning with Intrinsic Rewards that Mimic the Human Nervous System

The human autonomic nervous system has evolved over millions of years an...

2 Daniel McDuff, et al. ∙

research

∙ 05/21/2018

DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks

Non-contact video-based physiological measurement has many applications ...

0 Weixuan Chen, et al. ∙

Daniel McDuff

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