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检索条件"机构=Computer Vision and Pattern Recognition Lab."
299 条 记 录,以下是31-40 订阅
排序:
Ui-net: Interactive artificial neural networks for iterative image segmentation based on a user model
Ui-net: Interactive artificial neural networks for iterative...
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2017 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2017
作者: Amrehn, Mario Gaube, Sven Unberath, Mathias Schebesch, Frank Horz, Tim Strumia, Maddalena Steidl, Stefan Kowarschik, Markus Maier, Andreas Pattern Recognition Lab. Computer Science Department Friedrich-Alexander University Erlangen-Nuremberg Germany Erlangen Germany Siemens Healthcare GmbH Forchheim Germany
For complex segmentation tasks, fully automatic systems are inherently limited in their achievable accuracy for extracting relevant objects. Especially in cases where only few data sets need to be processed for a high... 详细信息
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Automatic patient pose estimation using pressure sensing mattresses
Automatic patient pose estimation using pressure sensing mat...
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Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2011 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2011
作者: Grimm, Robert Sukkau, Johann Hornegger, Joachim Greiner, Günther Pattern Recognition Lab. University of Erlangen-Nuremberg Germany Computer Graphics University of Erlangen-Nuremberg Germany Siemens AG Healthcare MR Erlangen Germany
We present a system to automatically estimate the body pose of a reclined patient, based on measurement data from a pressure sensing mattress. It can be used to replace or reduce manual input in clinical imaging proce... 详细信息
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Using a real-time web-based pattern recognition system to search for component patterns database
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1st EurAsian Conference on Advances in Information and Communication Technology, EurAsia-ICT 2002
作者: Hsiao, Sung-Jung Fan, Kuo-Chin Sung, Wen-Tsai Ou, Shih-Ching Artificial Intelligence and Pattern Recognition Lab. Department of Computer Science and Information Engineering National Central University Taiwan Automation and CAD Lab. Department of Electrical Engineering National Central University Taiwan
Faraway engineers are able to sketch direct the shape of engineering components by the browser, and the recognition system will proceed with search for the component database of company by the Internet. In this paper,... 详细信息
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Latent variable models for predicting file dependencies in large-scale software development
Latent variable models for predicting file dependencies in l...
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24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010
作者: Hu, Diane J. Van Der Maaten, Laurens Cho, Youngmin Saul, Lawrence K. Lerner, Sorin Dept. of Computer Science and Engineering University of California San Diego United States Pattern Recognition and Bioinformatics Lab. Delft University of Technology Netherlands
When software developers modify one or more files in a large code base, they must also identify and update other related files. Many file dependencies can be detected by mining the development history of the code base... 详细信息
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Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement  20th
Bootstrap Diffusion Model Curve Estimation for High Resolut...
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20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023
作者: Huang, Jiancheng Liu, Yifan Chen, Shifeng ShenZhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China University of Chinese Academy of Sciences Beijing China
Learning-based methods have attracted a lot of research attention and led to significant improvements in low-light image enhancement. However, most of them still suffer from two main problems: expensive computational ... 详细信息
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Non-deterministic Behavior of Ranking-Based Metrics When Evaluating Embeddings  2nd
Non-deterministic Behavior of Ranking-Based Metrics When Eva...
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2nd International Workshop on Reproducible Research in pattern recognition, RRPR 2018
作者: Nicolaou, Anguelos Dey, Sounak Christlein, Vincent Maier, Andreas Karatzas, Dimosthenis Computer Vision Center Edificio O Campus UAB Bellaterra08193 Spain Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany
Embedding data into vector spaces is a very popular strategy of pattern recognition methods. When distances between embeddings are quantized, performance metrics become ambiguous. In this paper, we present an analysis... 详细信息
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Nonlinear manifold clustering by dimensionality
Nonlinear manifold clustering by dimensionality
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18th International Conference on pattern recognition, ICPR 2006
作者: Wenbo, Cao Haralick, Robert Computer Science Pattern Recognition Lab. Graduate Center City University of New York 365 Fifth Avenue New York NY 10016 United States
Because of variable dependence, high dimensional data typically have much lower intrinsic dimensionality than the number of its variables. Hence high dimensional data can be expected to lie in (nonlinear) lower dimens... 详细信息
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On road vehicle make and model recognition via sparse feature coding
On road vehicle make and model recognition via sparse featur...
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Iranian Machine vision and Image Processing (MVIP)
作者: A. Nazemi M. J. Shafiee Z. Azimifar Computer Vision and Pattern Recognition Lab Shiraz University Shiraz Iran
Automatic vehicle Make and Model recognition (MMR) system offers a competent way to vehicle classification and recognition systems. This paper proposes a real time while robust vehicle make and model recognition syste... 详细信息
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A new approach to speed up in action recognition based on key-frame extraction
A new approach to speed up in action recognition based on ke...
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Iranian Machine vision and Image Processing (MVIP)
作者: Neda Azouji Zohreh Azimifar Computer Vision and Pattern Recognition Lab Shiraz University Shiraz Iran
Human action recognition is the process of lab.ling videos contain human motion with action classes. The run time complexity is one of the most important challenges in action recognition. In this paper, we address thi... 详细信息
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A deep learning architecture for limited-angle computed tomography reconstruction
A deep learning architecture for limited-angle computed tomo...
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Workshops on Image processing for the medicine, 2017
作者: Hammernik, Kerstin Würfl, Tobias Pock, Thomas Maier, Andreas Institute of Computer Graphics and Vision Graz University of Technology Austria Pattern Recognition Lab Friedrich-Alexander-University Germany Digital Safety and Security Department AIT Austrian Institute of Technology Austria
Limited-angle computed tomography suffers from missing data in the projection domain, which results in intensity inhomogeneities and streaking artifacts in the image domain. We address both challenges by a two-step de... 详细信息
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