23 citations · 103 across the 19 of their papers we have counts for
6 papers · 1 filter
AVEID: Automatic Video System for Measuring Engagement In Dementia
Viral Parekh, Pin Sym Foong, Shendong Zhao +1
Engagement in dementia is typically measured using behavior observational scales (BOS) that are tedious and involve intensive manual labor to annotate, and are therefore not easily…
An EEG-based Image Annotation System
Viral Parekh, Ramanathan Subramanian, Dipanjan Roy +1
The success of deep learning in computer vision has greatly increased the need for annotated image datasets. We propose an EEG (Electroencephalogram)-based image annotation system.…
Evaluating Content-centric vs User-centric Ad Affect Recognition
Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3
Despite the fact that advertisements (ads) often include strongly emotional content, very little work has been devoted to affect recognition (AR) from ads. This work explicitly com…
Affect Recognition in Ads with Application to Computational Advertising
Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3
Advertisements (ads) often include strongly emotional content to leave a lasting impression on the viewer. This work (i) compiles an affective ad dataset capable of evoking coheren…
Gender and Emotion Recognition with Implicit User Signals
Maneesh Bilalpur, Seyed Mostafa Kia, Manisha Chawla +2
We examine the utility of implicit user behavioral signals captured using low-cost, off-the-shelf devices for anonymous gender and emotion recognition. A user study designed to exa…
Discovering Gender Differences in Facial Emotion Recognition via Implicit Behavioral Cues
Maneesh Bilalpur, Seyed Mostafa Kia, Tat-Seng Chua +1
We examine the utility of implicit behavioral cues in the form of EEG brain signals and eye movements for gender recognition (GR) and emotion recognition (ER). Specifically, the ex…