activity
20182022
most citedAutomated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals

6 citations · 6 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SP20226 cited

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…

cs.CV2020

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…

cs.CV2019

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…

cs.CV2018

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…

cs.CV2018

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…