View our outputs in human-centred AI

Discover the valuable insights we’ve revealed by applying our unique research methodologies.

Selected recent publications

Year Publication details
2021 What's the Context? Implicit and Explicit Assumptions in Model-Based Goal Recognition
Peta Masters and Mor Vered. IJCAI Survey Track.
2021FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios
Vineet Mehta, Parul Gupta, Ramanathan Subramanian and Abhinav Dhall
ACM Intelligent User Interfaces 2021
2021 A Survey on Automatic Multimodal Emotion Recognition in the Wild
Garima Sharma and Abhinav Dhall
Springer Advances in Data Science: Methodologies and Applications
2020 The eyes know it: FakeET-An Eye-tracking Database to Understand Deepfake Perception
Parul Gupta, Komal Chugh,  Ramanathan Subramanian and Abhinav Dhall
ACM International Conference on Multimodal Interaction
2020 Not made for each other-Audio-Visual Dissonance-based Deepfake Detection and Localization
Komal Chugh, Parul Gupta, Abhinav Dhall and  Ramanathan Subramanian ACM International Conference on Multimedia
2020 Demand-Driven Transparency for Monitoring Intelligent Agents
Mor Vered, Piers Howe, Tim Miller, Liz Sonenberg and Eduardo Velloso. IEEE THMS special issue on Agent and System Transparency.
2020 Automatic Prediction of Group Cohesiveness in Images
Shreya Ghosh, Abhinav Dhall, Nicu Sebe and Tom Gedeon
IEEE Transactions on Affective Computing
2020Emotiw 2020: Driver gaze, group emotion, student engagement and physiological signal based challenges
Abhinav Dhall, Garima Sharma, Roland Goecke, Tom Gedeon
ACM International Conference on Multimodal Interaction
2019 Let’s Make it Personal: A Challenge in Personalizing Medical Inter-Human Communications
Mor Vered, Frank Dignum and Tim Miller. AI for Social Good, IJCAI.