Svebor Karaman, received the Ph.D. in Computer Science from the University of Bordeaux, France. He is an Associate Research Scientist in the DVMM Lab at

Svebor Karaman; Affiliations. University of Florence (20) University of Bordeaux (7) Universite Paul Sabatier Toulouse III (4) Laboratoire Bordelais de Recherche en

Svebor Karaman. Semantic Scholar profile for Svebor Karaman, with 41 highly influential citations and 44 scientific research papers. ColumbiaDVMM /ColumbiaImageSearch. Columbia Image and Face Search tool for MEMEX. Python 48 29 · glisanti /MCK-CCA. Multi Channel-Kernel Canonical Svebor Karaman, Postdoctoral Research Scholar, School of Engineering and Applied Science (SEAS), Columbia Engineering. Xu Zhang, Postdoctoral Contributeur : Svebor Karaman Soumis le : mardi 27 juillet 2010 - 14:54:16.

Svebor karaman

7. papers with Identity Inference: Generalizing Person Re-identification Scenarios. Authors; Authors and affiliations. Svebor Karaman; Andrew D. Bagdanov. Svebor Karaman. Semantic Scholar profile for Svebor Karaman, with 41 highly influential citations and 44 scientific research papers. ColumbiaDVMM /ColumbiaImageSearch.

Jie Feng 1Svebor Karaman 2Shih-Fu Chang; 1Department of Computer Science, Columbia University jiefeng@cs.columbia.edu 2Department of Electrical Engineering, Columbia University svebor.karaman@columbia.edu, sfchang@ee.columbia.edu Abstract In applications involving matching of image sets, the information from multiple images must be effectively ex-

2010 Posted by Svebor KARAMAN on February 4, 2014 No comments The research of my PhD thesis [1] was fulfilled in the context of wearable video monitoring of patients with aged dementia. The idea was to provide a new tool to medical practitioners for the early diagnosis of elderly dementia such as the Alzheimer disease [2]. View Svebor Karaman's business profile as Research Associate & Scientist at Columbia University.

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Svebor Karaman · Andrew D. Giuseppe Lisanti, Svebor Karaman and Iacopo Masi. 2016. Multi Channel-Kernel Canonical Correlation.

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. However, the specific model used by the attacker is often unavailable. Svebor Karaman. Rio Innovation Hub launches new Design Challenge on “Sensing and the City” 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.
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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, Giuseppe Lisanti, Andrew D. Bagdanov, and Alberto Del Bimbo. 2014. Leveraging local neighborhood topology for large scale person re-identification.
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Contributeur : Svebor Karaman Svebor Karaman, Jenny Benois-Pineau, Vladislavs Dovgalecs, Rémi Mégret, Julien Pinquier, et al.

However, the specific model used by the attacker is often unavailable. 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. Previously, I have spent three years as a PostDoc at the MICC (Media Integration and Communication Center) of the University of Florence in Italy and five years as an Associate Research Scientist in the DVMM Lab at Columbia Svebor Karaman. Senior Research Scientist at Dataminr. Verified email at dataminr.com - Homepage. Computer Vision Machine Learning Deep Learning Action Recognition Svebor Karaman Rémi Mégret 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 Read Svebor Karaman's latest research, browse their coauthor's research, and play around with their algorithms Svebor Karaman.