20092022
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Personal profile

Biography

I am a Lecturer in the Human-Centred Artificial Intelligence lab at CHIC.

Latest news

Nov 2019 - One paper accepted in IEEE Transanctions on Affective Computing.

Jul 2019 - One paper accepted each at ACM ICMI 2019 and RO-MAN 2019.

Jul 2019 - Webpage for our unsupervised eye gaze prediction work.

About Me 

My research area is mainly in the broad domain of automatic human behaviour understanding. I moved to Australia from Indian Institute of Technology Ropar, where I lead the Learning Affect & Semantic Image Analysis group. I pursued research at the University of Waterloo and the University of Canberra after receiving PhD from the Australian National University. During the course of my PhD journey, I was a visiting scholar at the University of California San Diego and the Imperial College London.

Current Research Interests

1. Deep learning for affective computing

2. Human-centred artificial intelligence 

3. Computer vision

If you are interested in pursuing a PhD in any of the topics above at Monash university, please get in touch with me through email and a subject title "Prospective PhD Applicant".

Teaching Interests

While at IIT Ropar, I have taught Computer Vision, Advanced Computer Vision and Introduction to Computing and Data Structures.

Research area keywords

  • Computer Vision
  • Affective Computing
  • Human-Computer Interaction

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2019 2022

Adaptive modeling of human responses in complex interaction

Gedeon, T. (., Takagi, H., Kacprzyk, J. & Dhall, A.

30/08/1929/08/22

Project: Research

Research Output 2009 2019

DIF: Dataset of perceived Intoxicated Faces for drunk person identification

Mehta, V., Srinadhu Katta, S., Pratap Yadav, D. & Dhall, A., 2019, Proceedings of the 2019 International Conference on Multimodal Interaction. R. Fussell, S., Schuller, B., Song, Y. & Yu, K. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 367-374 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Domain adaptation based topic modeling techniques for engagement estimation in the wild

Kaur, A., Ghosh, B., Singh, N. D. & Dhall, A., 2019, Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019. Hancock, P., Singh, R., Pelachaud, C. & Athitsos, V. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 610-615 6 p. 8756511

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

EmotiW 2019: automatic emotion, engagement and cohesion prediction tasks

Dhall, A., Goecke, R., Ghosh, S. & Gedeon, T. T., 2019, Proceedings of the 2019 International Conference on Multimodal Interaction. R. Fussell, S., Schuller, B., Song, Y. & Yu, K. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 546-550 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Open Access
File

Expression empowered ResiDen network for Facial Action Unit detection

Jyoti, S., Sharma, G. & Dhall, A., 2019, Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019. Hancock, P., Singh, R., Pelachaud, C. & Athitsos, V. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 262-269 8 p. 8756580

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Garuda: a deep learning based solution for capturing selfies safely

Singh Virk, J. & Dhall, A., 16 Mar 2019, Proceedings of IUI 2019. Brdiczka, O., Calvary, G. & Chau, P. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 43-44 2 p. (International Conference on Intelligent User Interfaces, Proceedings IUI).

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Press / Media

Making clicking selfies safer

Abhinav Dhall

8/06/19

1 Media contribution

Press/Media: Research