activity
20182023
most citedAffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations

77 citations · 258 across the 22 of their papers we have counts for

collaborators
Showing 2019Show all

13 papers · 1 filter

cs.CV2019★ 5 cited

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…

cs.CV2019

Modeling Affect-based Intrinsic Rewards for Exploration and Learning

Dean Zadok, Daniel McDuff, Ashish Kapoor

Positive affect has been linked to increased interest, curiosity and satisfaction in human learning. In reinforcement learning, extrinsic rewards are often sparse and difficult to…

cs.CV2019★ 7 cited

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…

cs.LG2019★ 3 cited

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…

cs.HC2019★ 2 cited

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…

cs.HC2019★ 37 cited

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…