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Bio
Dr. Metaxas has been conducting research towards the development of formal methods upon which both computer vision, computer graphics and medical imaging can advance synergistically. In computer vision, he works on the simultaneous segmentation and fitting of complex objects, shape representation, statistical model-based tracking, learning, sparsity, ASL and gesture recognition. In particular he is focusing on human body and shape motion analysis, human surveillance, security applications, ASL recognition, behavior modeling and analysis and scalable solutions to large and distributed sensor-based networks. In the area of biomedical applications new methods have been developed for material modeling and shape estimation of internal body parts (e.g., lungs) from MRI, SPAMM and CT data, a pioneering framework for linking the anatomical and physiological models of the human body and deformable models suitable for the automatic diagnosis of heart illness from MRI data. In computer graphics, he introduced the Navier-Stokes methodology for Fluids, based on which the water scenes in the movie ''Antz'' were created in 1998. For this work, his student Nick Foster won a Technical Acheivement award from the Academy of Motion Picture Arts and Sciences in 1999. Since then, he is working on new techniques for modeling fluid phenomena, and control theoretic techniques for automating and improving the animation of articulated (e.g., humans) objects.
Research Interests
Papers共 376 篇Author StatisticsCo-AuthorSimilar Experts
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CVPR 2024 (2024)
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MEDICAL IMAGE ANALYSIS (2024): 102999-102999
Qilong Zhangli,Jindong Jiang,Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani,Guan Pang,Dimitris N. Metaxas,Praveen Krishnan
arxiv(2024)
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Qilong Zhangli,Jindong Jiang,Di Liu,Licheng Yu,Xiaoliang Dai, Ankit Ramchandani,Guan Pang,Dimitris N. Metaxas,Praveen Krishnan
CVPR 2024 (2024)
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CoRR (2024)
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arxiv(2024)
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CoRR (2024)
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Zhixing Zhang,Yanyu Li,Yushu Wu, Yanwu Xu, Anil Kag,Ivan Skorokhodov,Willi Menapace,Aliaksandr Siarohin, Junli Cao,Dimitris Metaxas,Sergey Tulyakov,Jian Ren
arxiv(2024)
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