The current work investigates the capability of Large language models (L...
The impact of digital device use on health and well-being is a pressing
...
Large language models (LLMs) can capture rich representations of concept...
The use of observed wearable sensor data (e.g., photoplethysmograms [PPG...
Video captioning (VC) is a fast-moving, cross-disciplinary area of resea...
Synthetic data are becoming a critical tool for building artificially
in...
Machine learning models for camera-based physiological measurement can h...
Understanding of human visual perception has historically inspired the d...
Remote photoplethysmography (rPPG) is an attractive method for noninvasi...
Camera physiological measurement is a fast growing field of computer vis...
The use of cameras and computational algorithms for noninvasive, low-cos...
The growing need for technology that supports remote healthcare is being...
Camera-based contactless photoplethysmography refers to a set of popular...
The need for remote tools for healthcare monitoring has never been more
...
Numerous real-world applications have been driven by the recent algorith...
Synthetic data is a powerful tool in training data hungry deep learning
...
Camera-based physiological measurement is a growing field with neural mo...
Computer vision methods typically optimize for first-order dynamics (e.g...
Contrastive learning has delivered impressive results in many audio-visu...
What breathes life into an embodied agent or avatar? While body motions ...
Facial action unit recognition has many applications from market researc...
The ability to monitor audience reactions is critical when delivering
pr...
Creating presentation materials requires complex multimodal reasoning sk...
Scientific research and development relies on the sharing of ideas and
a...
Non-contact physiological measurement has the potential to provide low-c...
Attention is a powerful concept in computer vision. End-to-end networks ...
Earth observing satellites carrying multi-spectral sensors are widely us...
There are large individual differences in physiological processes, makin...
Telehealth and remote health monitoring have become increasingly importa...
People often share news and information with their social connections, b...
Positive affect has been linked to increased interest, curiosity and
sat...
Machine learning systems are being used to automate many types of labori...
Current multi-reference style transfer models for Text-to-Speech (TTS)
p...
Advances in machine intelligence have enabled conversational interfaces ...
Embodied avatars as virtual agents have many applications and provide
be...
Deep generative models have led to significant advances in cross-modal
g...
A natural conversational interface that allows longitudinal symptom trac...
Generative adversarial networks have led to significant advances in
cros...
We present an end-to-end voice-based conversational agent that is able t...
Humans use a host of signals to infer the emotional state of others. In
...
Imaging-based, non-contact measurement of physiology (including imaging
...
The delivery of mental health interventions via ubiquitous devices has s...
Machine learned models exhibit bias, often because the datasets used to ...
Many important physical phenomena involve subtle signals that are diffic...
The human autonomic nervous system has evolved over millions of years an...
Non-contact video-based physiological measurement has many applications ...