11 citations · 19 across the 6 of their papers we have counts for
7 papers
Affective Computational Advertising Based on Perceptual Metrics
Soujanya Narayana, Shweta Jain, Harish Katti +2
We present \textbf{ACAD}, an \textbf{a}ffective \textbf{c}omputational \textbf{ad}vertising framework expressly derived from perceptual metrics. Different from advertising methods…
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals
Ravikiran Parameshwara, Soujanya Narayana, Murugappan Murugappan +3
While Parkinson's disease (PD) is typically characterized by motor disorder, there is evidence of diminished emotion perception in PD patients. This study examines the utility of a…
Characterizing Hirability via Personality and Behavior
Harshit Malik, Hersh Dhillon, Roland Goecke +1
While personality traits have been extensively modeled as behavioral constructs, we model \textbf{\textit{job hirability}} as a \emph{personality construct}. On the {\emph{First Im…
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks
Aamir Mustafa, Salman Khan, Munawar Hayat +3
Deep neural networks are vulnerable to adversarial attacks, which can fool them by adding minuscule perturbations to the input images. The robustness of existing defenses suffers g…
A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation
Xiaohua Huang, Abhinav Dhall, Roland Goecke +2
With the progress in automatic human behavior understanding, analysing the perceived affect of multiple people has been recieved interest in affective computing community. Unlike c…
EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction
Abhinav Dhall, Amanjot Kaur, Roland Goecke +1
This paper details the sixth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW 2018 is a grand challenge in the ACM International Conference on Multimodal Interaction 2018…
Harnessing the Deep Net Object Models for Enhancing Human Action Recognition
O. V. Ramana Murthy, Roland Goecke
In this study, the influence of objects is investigated in the scenario of human action recognition with large number of classes. We hypothesize that the objects the humans are int…