37 citations · 86 across the 8 of their papers we have counts for
13 papers
Do Facial Expressions Predict Ad Sharing? A Large-Scale Observational Study
Daniel McDuff, Jonah Berger
People often share news and information with their social connections, but why do some advertisements get shared more than others? A large-scale test examines whether facial respon…
A Scalable Approach for Facial Action Unit Classifier Training UsingNoisy Data for Pre-Training
Alberto Fung, Daniel McDuff
Machine learning systems are being used to automate many types of laborious labeling tasks. Facial actioncoding is an example of such a labeling task that requires copious amounts…
Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency
Matt Whitehill, Shuang Ma, Daniel McDuff +1
Current multi-reference style transfer models for Text-to-Speech (TTS) perform sub-optimally on disjoints datasets, where one dataset contains only a single style class for one of…
Designing Style Matching Conversational Agents
Deepali Aneja, Rens Hoegen, Daniel McDuff +1
Advances in machine intelligence have enabled conversational interfaces that have the potential to radically change the way humans interact with machines. However, even with the pr…
A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities
Deepali Aneja, Daniel McDuff, Shital Shah
Embodied avatars as virtual agents have many applications and provide benefits over disembodied agents, allowing non-verbal social and interactional cues to be leveraged, in a simi…
Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck
Shuang Ma, Daniel McDuff, Yale Song
Deep generative models have led to significant advances in cross-modal generation such as text-to-image synthesis. Training these models typically requires paired data with direct…