multix.io - MultiX Overview

Example domain paragraphs

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.

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