Dr. Abhinav Dhall

Assistant Professor
Department of Computer Science and Engineering
Google Scholar: Link
Before starting a faculty position at Ropar, I was a Postdoctoral Fellow hosted by Prof. Jesse Hoey at the University of Waterloo. Prior to joining Waterloo, I worked as a Postdoctoral Research Fellow B for two years at the University of Canberra with Prof. Roland Goecke. I was also affiliated with the Health Research Institute at the University of Canberra. I received my PhD from the Australian National University. I was supported by the Australian Leadership Award 2010. During my PhD, I visited Prof. Gwen Littlewort and Prof. Marian Bartlett at the University of California San Diego. In 2013, supported by the ANU Dean's travel award, I visited Prof. Stefanous Zaferious and Prof. Maja Pantic at the Imperial College London. I worked as a Senior Software Engineer with Samsung Delhi R&D before starting my PhD.
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].