2026 Abhinav Dhall: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	38	10235	9948	312	311	164	6139

Overview

Abhinav Dhall is affiliated with Monash University in Australia. Their research primarily focuses on computer science, with significant contributions in the subfields of computer vision and pattern recognition, human-computer interaction, cognitive neuroscience, experimental and cognitive psychology, and artificial intelligence.

The scientist's recent published papers include the following:

UW-GAN: Single-Image Depth Estimation and Image Enhancement for Underwater Images, 2021, IEEE Transactions on Instrumentation and Measurement
Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
Glitch in the matrix: A large scale benchmark for content driven audio-visual forgery detection and localization, 2023, Computer Vision and Image Understanding
Audio-Visual Automatic Group Affect Analysis, 2021, IEEE Transactions on Affective Computing
Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines, 2023, INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

Frequent co-authors in their work include:

Munawar Hayat
Shreya Ghosh
Kalin Stefanov
Ramanathan Subramanian
Zhixi Cai

Common venues where their research is published are:

arXiv (Cornell University)
IEEE Transactions on Affective Computing
Computer Vision and Image Understanding
Proceedings of the 30th ACM International Conference on Multimedia
INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

Abhinav Dhall has contributed to book publications, including works published by Springer Science+Business Media and Frontiers Media. Titles include:

Computer Vision and Image Processing, 2022
Computer Vision and Image Processing, 2022
Bridging the Gap between Machine Learning and Affective Computing, 2023

Their research encompasses topics such as:

Advanced Image Processing Techniques
Gaze Tracking and Assistive Technology
Emotion and Mood Recognition
Generative Adversarial Networks and Image Synthesis
Advanced Vision and Imaging
Image Enhancement Techniques
Human Pose and Action Recognition

Best Publications

Collecting Large, Richly Annotated Facial-Expression Databases from Movies

Abhinav Dhall;R. Goecke;S. Lucey;T. Gedeon

654
Citations
Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

Abhinav Dhall;Roland Goecke;Simon Lucey;Tom Gedeon

593
Citations
Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015

Abhinav Dhall;O.V. Ramana Murthy;Roland Goecke;Jyoti Joshi

349
Citations
Emotion recognition using PHOG and LPQ features

Abhinav Dhall;Akshay Asthana;Roland Goecke;Tom Gedeon

294
Citations
Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol

Abhinav Dhall;Roland Goecke;Jyoti Joshi;Karan Sikka

239
Citations
Emotion recognition in the wild challenge 2013

Abhinav Dhall;Roland Goecke;Jyoti Joshi;Michael Wagner

236
Citations
From individual to group-level emotion recognition: EmotiW 5.0

Abhinav Dhall;Roland Goecke;Shreya Ghosh;Jyoti Joshi

232
Citations
Multimodal assistive technologies for depression diagnosis and monitoring

Jyoti Joshi;Roland Goecke;Roland Goecke;Sharifa Alghowinem;Abhinav Dhall

197
Citations
UW-GAN: Single-Image Depth Estimation and Image Enhancement for Underwater Images

Praful Hambarde;Subrahmanyam Murala;Abhinav Dhall

178
Citations
EmotiW 2016: video and group-level emotion recognition challenges

Abhinav Dhall;Roland Goecke;Jyoti Joshi;Jesse Hoey

176
Citations
EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction

Abhinav Dhall;Amanjot Kaur;Roland Goecke;Tom Gedeon

148
Citations
Diagnosis of depression by behavioural signals: a multimodal approach

Nicholas Cummins;Jyoti Joshi;Abhinav Dhall;Vidhyasaharan Sethu

147
Citations
Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization

Komal Chugh;Parul Gupta;Abhinav Dhall;Ramanathan Subramanian

128
Citations
Prediction and Localization of Student Engagement in the Wild

Amanjot Kaur;Aamir Mustafa;Love Mehta;Abhinav Dhall

125
Citations
Automatic Group Happiness Intensity Analysis

Abhinav Dhall;Roland Goecke;Tom Gedeon

125
Citations
The more the merrier: Analysing the affect of a group of people in images

Abhinav Dhall;Jyoti Joshi;Karan Sikka;Roland Goecke

104
Citations
Monocular Image 3D Human Pose Estimation under Self-Occlusion

Ibrahim Radwan;Abhinav Dhall;Roland Goecke

90
Citations
Weakly supervised pain localization using multiple instance learning

Karan Sikka;Abhinav Dhall;Marian Bartlett

88
Citations
EmotiW 2020: Driver Gaze, Group Emotion, Student Engagement and Physiological Signal based Challenges

Abhinav Dhall;Garima Sharma;Roland Goecke;Tom Gedeon

87
Citations
Self-Stimulatory Behaviours in the Wild for Autism Diagnosis

Shyam Sundar Rajagopalan;Abhinav Dhall;Roland Goecke

87
Citations
MARLIN: Masked Autoencoder for facial video Representation LearnINg

Unknown

80
Citations
Dense and Diverse Capsule Networks: Making the Capsules Learn Better

Sai Samarth R. Phaye;Apoorva Sikka;Abhinav Dhall;Deepti R. Bathula

56
Citations

Frequent Co-Authors

Roland Goecke University of New South Wales

Subrahmanyam Murala Indian Institute of Technology Ropar

Michael Wagner University of Canberra

Nicu Sebe University of Trento

Guoying Zhao University of Oulu

Marian Stewart Bartlett Apple (United States)

Matti Pietikäinen University of Oulu

Jesse Hoey University of Waterloo

Gordon Parker University of New South Wales

Michael Breakspear University of Newcastle Australia

External Links

Personal website of Abhinav Dhall

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