Georg Nebehay

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Roman PflugfelderMarie Curie Fellow at TUM/TechnionPreverjeni e-poštni naslov na tum.de
Matej KristanFull Professor at Faculty of computer and information science, University of LjubljanaPreverjeni e-poštni naslov na fri.uni-lj.si
Jiri MatasProfessor, Czech Technical UniversityPreverjeni e-poštni naslov na cmp.felk.cvut.cz
Tomáš VojířCenter for Machine Perception, Czech Technical University in PraguePreverjeni e-poštni naslov na cmp.felk.cvut.cz
Luka Čehovin ZajcAssistant Professor at the Faculty of Computer and Information Science, University of LjubljanaPreverjeni e-poštni naslov na fri.uni-lj.si
Fatih PorikliQualcomm, Australian National UniversityPreverjeni e-poštni naslov na anu.edu.au
Bernhard RinnerProfessor, Alpen-Adria-Universität KlagenfurtPreverjeni e-poštni naslov na aau.at
Lukas EsterleAssociate Professor, Aarhus UniversityPreverjeni e-poštni naslov na ece.au.dk
Peter R. LewisCanada Research Chair in Trustworthy Artificial Intelligence at Ontario Tech UniversityPreverjeni e-poštni naslov na ontariotechu.ca
Jennifer SimonjanLead Researcher at Technology Innovation InstitutePreverjeni e-poštni naslov na tii.ae
Bernhard DieberDirector of Software Development at DynatracePreverjeni e-poštni naslov na bernharddieber.com
Wayne LukProfessor of Computer Engineering, Imperial College LondonPreverjeni e-poštni naslov na imperial.ac.uk
Branislav MicusikEngineer / Researcher / ScientistPreverjeni e-poštni naslov na epicgames.com
Xin YaoLingnan University (Hong Kong) and University of Birmingham (UK)

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Georg Nebehay

Former PhD Student at AIT Austrian Institute of Technology

Preverjeni e-poštni naslov na ait.ac.at - Domača stran

Computer Vision Object Tracking


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
The Visual Object Tracking VOT2014 challenge results M Kristan, R Pflugfelder, A Leonardis, J Matas, L Cehovin, G Nebehay, ... ECCV Workshop on the VOT2014 Visual Object Tracking Challenge, 2014	2166	2014
A novel performance evaluation methodology for single-target trackers M Kristan, J Matas, A Leonardis, T Vojíř, R Pflugfelder, G Fernandez, ... IEEE transactions on pattern analysis and machine intelligence 38 (11), 2137 …, 2016	736	2016
Clustering of static-adaptive correspondences for deformable object tracking G Nebehay, R Pflugfelder Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	246	2015
Consensus-based Matching and Tracking of Keypoints for Object Tracking G Nebehay, R Pflugfelder Winter Conference on Applications of Computer Vision, 2014	233	2014
The thermal infrared visual object tracking VOT-TIR2015 challenge results M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, ... Proceedings of the IEEE international conference on computer vision …, 2015	193	2015
Self-aware computing systems PR Lewis, M Platzner, B Rinner, J Tørresen, X Yao Natural Computing Series, 2016	126	2016
Robust object tracking based on tracking-learning-detection G Nebehay TU Vienna, 2012	79	2012
Self-aware and self-expressive camera networks B Rinner, L Esterle, J Simonjan, G Nebehay, R Pflugfelder, ... Computer 48 (7), 21-28, 2015	50	2015
The vot2013 challenge: overview and additional results M Kristan, R Pflugfelder, A Leonardis, J Matas, F Porikli, L Cehovin, ... Czech Society for Cybernetics and Informatics, 2014	23	2014
Ella: Middleware for Multi-camera Surveillance in Heterogeneous Visual Sensor Networks B Dieber, J Simonjan, L Esterle, B Rinner, G Nebehay, R Pflugfelder, ... International Conference on Distributed Smart Cameras, 2013	16	2013
TLM: Tracking-Learning-Matching of Keypoints G Nebehay, R Pflugfelder International Conference on Distributed Smart Cameras, 2013	12	2013
Can diversity amongst learners improve online object tracking? G Nebehay, W Chibamu, PR Lewis, A Chandra, R Pflugfelder, X Yao Multiple Classifier Systems: 11th International Workshop, MCS 2013, Nanjing …, 2013	12	2013
Self-aware object tracking in multi-camera networks L Esterle, J Simonjan, G Nebehay, R Pflugfelder, GF Domínguez, ... Self-aware computing systems: an engineering approach, 261-277, 2016	11	2016
Hardware-accelerated object tracking T Becker, Q Liu, W Luk, G Nebehay, R Pflugfelder Computer Vision on Low-Power Reconfigurable Architectures Workshop, Field …, 2011	11	2011
Demonstrating autonomous handover in heterogeneous multi-camera systems J Simonjan, L Esterle, B Rinner, G Nebehay, GF Domínguez Proceedings of the International Conference on Distributed Smart Cameras, 1-3, 2014	9	2014
Evaluation of an online learning approach for robust object tracking G Nebehay, B Micusik, C Picus, R Pflugfelder Technical Report, 2011	8	2011
A self-calibration method for smart video cameras G Nebehay, R Pflugfelder 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009	6	2009
Common techniques for self-awareness and self-expression S Wang, G Nebehay, L Esterle, K Nymoen, LL Minku Self-aware Computing Systems: An Engineering Approach, 113-142, 2016	5	2016
Knowledge representation and modelling: Structures and trade-offs LL Minku, L Esterle, G Nebehay, R Chen Self-aware Computing Systems: An Engineering Approach, 79-111, 2016	3	2016
A Deformable Part Model for One-Shot Object Tracking G Nebehay TU Graz, 2016	2	2016

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