基本信息
views: 1599
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
The Visual Computing and Artificial Intelligence Department investigates foundational research problems at the intersection of Computer Graphics, Computer Vision and Artificial Intelligence. It is our long term vision to develop entirely new ways to capture, represent, synthesize and simulate models of the real world at highest detail, robustness, and efficiency. To achieve this long term goal, we develop new concepts that rethink and unite established approaches from Computer Graphics and Computer Vision with concepts from Artificial Intelligence, in particular Machine Learning.
Our work lays the foundations for a new of thinking about computer graphics, and a new way of uniting and enriching the real world with computer graphics technology. It also lays the foundations for advanced methods to better perceive, understand and interpret the complex real world in motion surrounding us from visual observation, which is an essential capability of future intelligent computing systems that safely and intuitively interact with humans and the human world.
Research Interests
Papers共 544 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
arxiv(2024)
Cited0Views0Bibtex
0
0
CoRR (2024)
Cited0Views0EIBibtex
0
0
CoRR (2024)
Cited0Views0EIBibtex
0
0
Moritz Kappel, Florian Hahlbohm, Timon Scholz,Susana Castillo,Christian Theobalt,Martin Eisemann,Vladislav Golyanik,Marcus Magnor
arxiv(2024)
Cited0Views0Bibtex
0
0
CoRR (2024)
Cited0Views0EIBibtex
0
0
arxiv(2024)
Cited0Views0Bibtex
0
0
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn