ScaDS.AI (Center for Scalable Data Analytics and Artificial Intelligence) is a center for Data Science, Artificial Intelligence, and Big Data with locations in Dresden and Leipzig.
Within this center, we work on the subproject Scalable Visual Computing, which is embedded into the area of AI Algorihms and Methods. There, we improve, invent, and apply scalable Machine Learning and AI methods for generating, analyzing, and interacting with visual information.
These methods enable novel applications in Image Analysis, Computer Vision, Computer Graphics, Visualization and Human-Computer
Interaction. This includes ScaDS.AI applications in the life sciences and environmental sciences.
To be more precise, our contribution to this subproject will focus on the development and investigation of multiscale data visualization for heterogeneous device environments, responsive data visualization, perception for multi-scale visualization, and powerful multimodal and natural interaction techniques. Such research will allow us to design efficient and intuitive systems for the exploration and comprehension of ML-driven data.
Further information about the project can be found on the official ScaDS.AI website.
Related Publications
@inproceedings{luo2023pearl,
author = {Weizhou Luo and Zhongyuan Yu and Rufat Rzayev and Marc Satkowski and Stefan Gumhold and Matthew McGinity and Raimund Dachselt},
title = {PEARL: Physical Environment based Augmented Reality Lenses for In-Situ Human Movement Analysis},
booktitle = {Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems},
series = {CHI '23},
year = {2023},
month = {04},
location = {Hamburg, Germany},
doi = {10.1145/3544548.3580715},
publisher = {ACM},
address = {New York, NY, USA}
}List of additional material
@inproceedings{ellenberg2023spatiality,
author = {Mats Ole Ellenberg and Marc Satkowski and Weizhou Luo and Raimund Dachselt},
title = {Spatiality and Semantics - Towards Understanding Content Placement in Mixed Reality},
booktitle = {Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems},
series = {CHI EA'23},
year = {2023},
month = {04},
location = {Hamburg, Germany},
doi = {10.1145/3544549.3585853},
publisher = {ACM},
address = {New York, NY, USA}
}List of additional material
@inproceedings{krug2023point,
author = {Katja Krug and Marc Satkowski and Reuben Docea and Tzu-Yu Ku and Raimund Dachselt},
title = {Point Cloud Alignment through Mid-Air Gestures on a Stereoscopic Display},
booktitle = {Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems},
series = {CHI EA'23},
year = {2023},
month = {04},
location = {Hamburg, Germany},
doi = {10.1145/3544549.3585862},
publisher = {ACM},
address = {New York, NY, USA}
}List of additional material
