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个人简介
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.
研究兴趣
论文共 472 篇作者统计合作学者相似作者
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Harshil Bhatia, Edith Tretschk,Zorah Lähner, Marcel Seelbach Benkner,Michael Moeller,Christian Theobalt,Vladislav Golyanik
CoRR (2023)
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arxiv(2023)
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Bingchen Zhao, Jiahao Wang,Wufei Ma, Artur Jesslen,Siwei Yang,Shaozuo Yu, Oliver Zendel,Christian Theobalt, Alan Yuille,Adam Kortylewski
CoRR (2023)
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arxiv(2023)
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Jiatao Gu, Alex Trevithick, Kai-En Lin, Josh Susskind,Christian Theobalt,Lingjie Liu,Ravi Ramamoorthi
arxiv(2023)
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arxiv(2023)
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CoRR (2023)
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
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