We research multimedia analytics by developing AI techniques for getting the richest information possible from the data, visualizations, and interactions surpassing human and machine intelligence. We blend multi-modal data in effective interfaces for applications and social impact in public health, forensics and law enforcement, cultural heritage, and data-driven business.
[June 2023] Two papers ( "Hierarchical Explanations for Video Action Recognition" , "Causalainer: Causal Explainer for Automatic Video Summarization" ) have been published by Sadaf Gulshad and Jia-Hong Huang in the workshops of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[June 2023] A paper ( "PanorAMS: Automatic Annotation for Detecting Objects in Urban Context" ) has been published by Inske Groenen in the IEEE Transactions on Multimedia journal.