Janusz Konrad

Affiliations: 
Boston University, Boston, MA, United States 
Area:
Electronics and Electrical Engineering, Computer Science
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"Janusz Konrad"
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Publications

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Luo Z, B-Charron F, Lemaire C, et al. (2018) MIO-TCD: A new benchmark dataset for vehicle classification and localization. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society
Cilingiroglu TB, Uyar A, Tuysuzoglu A, et al. (2015) Dictionary-based image reconstruction for superresolution in integrated circuit imaging. Optics Express. 23: 15072-87
Stasinski R, Konrad J. (2015) Improved POCS-based image reconstruction from irregularly-spaced samples European Signal Processing Conference. 2015
Goyette N, Jodoin PM, Porikli F, et al. (2014) A novel video dataset for change detection benchmarking. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 23: 4663-79
Konrad J, Wang M, Ishwar P, et al. (2013) Learning-based, automatic 2D-to-3D image and video conversion. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 22: 3485-96
Guo K, Ishwar P, Konrad J. (2013) Action recognition from video using feature covariance matrices. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 22: 2479-94
Jodoin PM, Saligrama V, Konrad J. (2012) Behavior subtraction. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 21: 4244-55
Wang M, Ishwar P, Konrad J, et al. (2012) Coherent image selection using a fast approximation to the generalized traveling salesman problem Mm 2012 - Proceedings of the 20th Acm International Conference On Multimedia. 981-984
Konrad J, Brown G, Wang M, et al. (2012) Automatic 2D-to-3D image conversion using 3D examples from the internet Proceedings of Spie - the International Society For Optical Engineering. 8288
Wang M, Konrad J, Ishwar P, et al. (2011) Image saliency: From intrinsic to extrinsic context Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 417-424
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