23 citations · 103 across the 19 of their papers we have counts for
20 papers
On the Validity of Head Motion Patterns as Generalisable Depression Biomarkers
Monika Gahalawat, Maneesh Bilalpur, Raul Fernandez Rojas +3
Depression is a debilitating mood disorder negatively impacting millions worldwide. While researchers have explored multiple verbal and non-verbal behavioural cues for automated de…
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…
ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction
Samyak Jain, Pradeep Yarlagadda, Shreyank Jyoti +3
We propose the ViNet architecture for audio-visual saliency prediction. ViNet is a fully convolutional encoder-decoder architecture. The encoder uses visual features from a network…
Gender and Emotion Recognition from Implicit User Behavior Signals
Maneesh Bilalpur, Seyed Mostafa Kia, Mohan Kankanhalli +1
This work explores the utility of implicit behavioral cues, namely, Electroencephalogram (EEG) signals and eye movements for gender recognition (GR) and emotion recognition (ER) fr…
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…
Recognition of Advertisement Emotions with Application to Computational Advertising
Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3
Advertisements (ads) often contain strong affective content to capture viewer attention and convey an effective message to the audience. However, most computational affect recognit…
Investigating the generalizability of EEG-based Cognitive Load Estimation Across Visualizations
Viral Parekh, Maneesh Bilalpur, Sharavan Kumar +3
We examine if EEG-based cognitive load (CL) estimation is generalizable across the character, spatial pattern, bar graph and pie chart-based visualizations for the nback~task. CL i…
EEG-based Evaluation of Cognitive Workload Induced by Acoustic Parameters for Data Sonification
Maneesh Bilalpur, Mohan Kankanhalli, Stefan Winkler +1
Data Visualization has been receiving growing attention recently, with ubiquitous smart devices designed to render information in a variety of ways. However, while evaluations of v…
Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements
Abhinav Shukla, Harish Katti, Mohan Kankanhalli +1
Emotion evoked by an advertisement plays a key role in influencing brand recall and eventual consumer choices. Automatic ad affect recognition has several useful applications. Howe…
Watch to Edit: Video Retargeting using Gaze
Kranthi Kumar, Moneish Kumar, Vineet Gandhi +1
We present a novel approach to optimally retarget videos for varied displays with differing aspect ratios by preserving salient scene content discovered via eye tracking. Our algor…
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…
Evaluating Crowdsourcing Participants in the Absence of Ground-Truth
Ramanathan Subramanian, Romer Rosales, Glenn Fung +1
Given a supervised/semi-supervised learning scenario where multiple annotators are available, we consider the problem of identification of adversarial or unreliable annotators.
High-Level System Design of IEEE 802.11b Standard-Compliant Link Layer for MATLAB-Based SDR
Ramanathan Subramanian, Benjamin Drozdenko, Eric Doyle +3
Software defined radio (SDR) allows unprecedented levels of flexibility by transitioning the radio communication system from a rigid hardware platform to a more user-controlled sof…
PET: An Eye-tracking Dataset for Animal-centric PASCAL Object Classes
Syed Omer Gilani, Ramanathan Subramanian, Yan Yan +3
We present the Pascal animal classes Eye Tracking database. Our database comprises eye movement recordings compiled from forty users for the bird, cat, cow, dog, horse and sheep {t…
SALSA: A Novel Dataset for Multimodal Group Behavior Analysis
Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian +5
Studying free-standing conversational groups (FCGs) in unstructured social settings (e.g., cocktail party ) is gratifying due to the wealth of information available at the group (m…