Dr. Abhinav Dhall

Faculty, CSE
Department of Computer Science and Engineering
Google Scholar: Link
Abhinav Dhall is leading the Centre for Data Science at IIT Ropar and an adjunct senior lecturer at Monash University. He received PhD in Computer Science from the Australian National University followed by postdoctoral positions at the University of Canberra and the University of Waterloo. His research interests are in affective computing, computer vision and multimodal systems. He is the Associate Editor of the IEEE Transactions on Affective Computing. <br> <h2>For more recent updates, please visit: <a href=" https://sites.google.com/site/dhallabhinav">Personal Website</a> </h2>
Areas of Research: 
Computer Vision, Affective Computing and Human Computer Interaction
Google Scholar: https://scholar.google.co.in/citations?user=ypusncAAAAAJ&hl=en
PhD, Australian National University
Selected Publications/Patents: 
A. Dhall, R. Goecke and T. Gedeon, Automatic Group Happiness Intensity Analysis, IEEE Transaction on Affective Computing (TAC) 2015.
A. Dhall and R. Goecke, A Temporally Piece-wise Fisher Vector Approach for Depression Analysis, Affective Computing & Intelligent Interfaces (ACII) 2015.
A. Dhall, J. Joshi, K. Sikka, R. Goecke and N. Sebe, The More the Merrier: Analysing the Affect of a Group of People In Images, IEEE Automatic Faces & Gesture Recognition (FG) 2015.
X. Huang, A. Dhall, G. Zhao, R. Goecke and M. Pietikäinen. Riesz-based Volume Local Binary Pattern and A Novel Group Expression Model for Group Happiness Intensity Analysis, British Machine Vision Conference, BMVC 2014.
I. Radwan, A. Dhall and R. Goecke, Monocular Image 3D Human Pose Estimation under Self-Occlusion, IEEE International Conference on Computer Vision (ICCV) 2013.
K. Sikka, A. Dhall and M. Bartlett, Weakly Supervised Pain Localization and Classification with Multiple Segment Learning, Image & Vision Computing, Best of Automatic Faces & Gesture Recognition 2013.
A. Dhall, R. Goecke, Simon Lucey and T. Gedeon, Collecting Large, Richly Annotated Facial-Expression Databases from Movies, IEEE MultiMedia 2012.
Other Information: 


1.Outstanding reviewer award IEEE Int. Conf. on Automatic Faces & Gesture Recognition 2015.

2.Best Student Paper Honorable Mention Award, IEEE Int. Conf. on Automatic Faces & Gesture Recognition 2013.

3.Best Doctoral Consortium Paper Award, ACM Int. Conf. on Multimedia Retrieval 2013.

4.Best Paper Nomination at IEEE Int. Conf. on Multimedia & Expo 2012.


Acted Facial Expressions in the Wild and Static Facial Expressions in the Wild databases. 

Happy People Images (HAPPEI) database. (http://cs.anu.edu.au/few)

Note these databases are available strictly for academic research only. To get access to the database please contact me with the Subject [AFEW/SFEW].