most citedThe Truth and Nothing but the Truth: Multimodal Analysis for Deception Detection

60 citations · 61 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG20191 cited

Privacy Enhanced Multimodal Neural Representations for Emotion Recognition

Mimansa Jaiswal, Emily Mower Provost

Many mobile applications and virtual conversational agents now aim to recognize and adapt to emotions. To enable this, data are transmitted from users' devices and stored on centra…

cs.LG2019

Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning

Mimansa Jaiswal, Zakaria Aldeneh, Emily Mower Provost

Various psychological factors affect how individuals express emotions. Yet, when we collect data intended for use in building emotion recognition systems, we often try to do so by…

cs.SD2019

MuSE-ing on the Impact of Utterance Ordering On Crowdsourced Emotion Annotations

Mimansa Jaiswal, Zakaria Aldeneh, Cristian-Paul Bara +4

Emotion recognition algorithms rely on data annotated with high quality labels. However, emotion expression and perception are inherently subjective. There is generally not a singl…

cs.CL2019

"Hang in There": Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses

Mimansa Jaiswal, Sairam Tabibu, Erik Cambria

In the past few years, social media has risen as a platform where people express and share personal incidences about abuse, violence and mental health issues. There is a need to pi…

cs.CL201960 cited

The Truth and Nothing but the Truth: Multimodal Analysis for Deception Detection

Mimansa Jaiswal, Sairam Tabibu, Rajiv Bajpai

We propose a data-driven method for automatic deception detection in real-life trial data using visual and verbal cues. Using OpenFace with facial action unit recognition, we analy…

cs.HC2018

The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild

Soheil Khorram, Mimansa Jaiswal, John Gideon +2

Bipolar Disorder is a chronic psychiatric illness characterized by pathological mood swings associated with severe disruptions in emotion regulation. Clinical monitoring of mood is…