{Jean-Francois. Graphics. Metrics · Export Citation. NASA/ADS. Bridging Knowledge Graphs to Generate Scene Graphs. Zareian, Alireza; ;; Karaman, Svebor; ;; Chang, Shih-Fu   PolyMat Codes for Secure Distributed Multiple Matrix Multiplication; Xu Zhang, Svebor Karaman and Shih-Fu Chang.

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In Proceedings of the European Conference on Computer Vision Workshops. Google Scholar; Svebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, and Alberto Del Bimbo. 2014. DOI: 10.1007/978-3-030-58592-1_36 Corpus ID: 210064217.

D'Amico, Gianpaolo1  Learning Discriminative and Transformation Covariant Local Feature Detectors. Xu Zhang; Felix Yu; Svebor Karaman; Shih-Fu Chang. CVPR (2017). Download  Posted by Svebor KARAMAN on March 17, 2012 No comments I am a French Computer Vision and Machine Learning researcher, currently a Senior Research Scientist at Dataminr.

Svebor karaman

Senior Research Scientist at Dataminr. Verified email at dataminr.com - Homepage. Computer Vision Machine Learning Deep Learning Action Recognition Svebor Karaman Shih-Fu Chang In applications involving matching of image sets, the information from multiple images must be effectively exploited to represent each set. @InProceedings{bartoliicpr2014, author = {Bartoli, Federico and Lisanti, Giuseppe and Karaman, Svebor and Bagdanov, Andrew D. and Del Bimbo, Alberto}, title = {Unsupervised scene adaptation for faster multi-scale pedestrian detection}, note = {Oral presentation}, booktitle = {22nd International Conference on Pattern Recognition (ICPR)}, address = {Stockholm, Sweden}, year = {2014} } Svebor Karaman. Rio Innovation Hub launches new Design Challenge on “Sensing and the City” by Svebor KARAMAN In this paper we describe a semi-supervised approach to person re-identification that combines discriminative models of person identity with a Conditional Random Field (CRF) to exploit the local manifold approximation induced by the Posted by Svebor KARAMAN on May 26, 2014 No comments MNEMOSYNE is a three years research project co-funded by the MICC – University of Florence and the Tuscany – European Social Fund. The project is about the study and experimentation of smart environments for the protection and promotion of artistic and cultural heritage. Xu Zhang, Svebor Karaman, Shih-Fu Chang To detect GAN generated images, conventional supervised machine learning algorithms require collection of a number of real and fake images from the targeted GAN model.

See the complete profile on LinkedIn and discover Svebor’s Chapter 4 Spatial and multi-resolution context in visual indexing Jenny Benois-Pineau, Aur´elie Bugeau, Svebor Karaman, R´emi M´egret Abstract Recent trends in visual indexing make appear a large family of methods which use a local image representation via descriptors associated to the interest points, see chapter 2. View Svebor Karaman's business profile as Research Associate & Scientist at Columbia University. Find contact's direct phone number, email address, work history, and more.
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Activities of daily living indexing by hierarchical HMM for dementia diagnostics. By Svebor KARAMAN and Yann Gaëstel. Wearable video monitoring of people with age Dementia : Video indexing at the service of helthcare. Svebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, and Alberto Del Bimbo.
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2020 IEEE/CVF Conference on Computer Vision and  Svebor Karaman.