Abhinav Dhall


Accepting PhD Students

PhD projects

Deep learning for computer vision; Affective computing and human-centred AI


Research activity per year

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Personal profile

Research interests


Latest news

Jan 2020 - Our Zoom-bombing deepfake detector demo is accepted at ACM IUI 2021. [Arxiv] [Demo Video]

Dec 2020 - Our thermal data based fall detection and localisation paper accepted at ICPR. [Paper] [Demo Video] [GITHUB]

Oct 2020 - One paper accepted at WACV 2021 on inpainting with hypergraphs. [Paper] [GITHUB]

Aug 2020 - One paper accepted at ACM ICMI 2020 on human-machine collaboration for deepfakes detection.

Jul 2020 - One paper accepted at ACM Multimedia 2020 on audio-visual deepfakes detection and localisation. [Paper] [GITHUB] [Presentation Video]

June 2020 - One paper accepted at IEEE ICIP 2020 on depth prediction.

Feb 2020 - We are organising the 8th Emotion Recognition in the Wild Challenge at ACM ICMI 2020.

Jan 2020 - Appointed as Associate Editor for IEEE Transanctions on Affective Computing.

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.

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".



I am a Lecturer at the Faculty of Information Technology and I co-direct the Human-Centred Artificial Intelligence lab in the Department of Human Centered Computing. 

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.


Monash teaching commitment

Teaching Interests

At T3-57, I taught FIT5221 - Intelligent Image and Video Analysis.

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

Education/Academic qualification

Computer Science, Doctor of Philosophy, Australian National University

Award Date: 8 Aug 2014

Computer Science & Engineering, Bachelor of Technology (Distinction), DAV Institute of Engineering and Technology (DAVIET)

Award Date: 20 Feb 2006

Research area keywords

  • Computer Vision
  • Affective Computing
  • Human-Computer Interaction


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