Michael Felsberg

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Fahad Shahbaz KhanMBZUAI, Linköping University SwedenEmail yang diverifikasi di cvc.uab.es
Martin DanelljanResearcher, ETH ZurichEmail yang diverifikasi di vision.ee.ethz.ch
Gustav HägerLinköping UniversityEmail yang diverifikasi di liu.se
Andreas RobinsonLinköping UniversityEmail yang diverifikasi di liu.se
Goutam BhatPhD Student, ETH ZurichEmail yang diverifikasi di vision.ee.ethz.ch
Joost van de WeijerComputer Vision Center, Universitat Autònoma de BarcelonaEmail yang diverifikasi di cvc.uab.es
Per-Erik ForssénAssociate Professor in Electrical Engineering, Linköping UniversityEmail yang diverifikasi di isy.liu.se
Joakim JohnanderPhD Student, Computer Vision Lab, Linköping UniversityEmail yang diverifikasi di liu.se
Jiri MatasProfessor, Czech Technical UniversityEmail yang diverifikasi di cmp.felk.cvut.cz
Matej KristanFull Professor at Faculty of computer and information science, University of LjubljanaEmail yang diverifikasi di fri.uni-lj.si
Amanda BergAdjunct researcher, Linköpings universitetEmail yang diverifikasi di liu.se
Ales LeonardisProfessor of Computer ScienceEmail yang diverifikasi di cs.bham.ac.uk
Jörgen AhlbergAdjunct Associate Professor, Linköping University and University of OsloEmail yang diverifikasi di liu.se
Rao Muhammad AnwerMohamed bin Zayed University of Artificial Intelligence (MBZUAI)Email yang diverifikasi di aalto.fi
Johan EdstedtLinköping UniversityEmail yang diverifikasi di liu.se
Roman PflugfelderMarie Curie Fellow at TUM/TechnionEmail yang diverifikasi di tum.de
Abdelrahman EldesokeyPostdoc at KAUSTEmail yang diverifikasi di kaust.edu.sa
Johan HedborgApple Inc., Computer Vision Laboratory Linköping UniversityEmail yang diverifikasi di isy.liu.se
Felix Järemo LawinLinköping UniversityEmail yang diverifikasi di liu.se
Norbert KruegerProfessor, University of Southern DenmarkEmail yang diverifikasi di mmmi.sdu.dk

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Michael Felsberg

Professor of Computer Vision, Linköping University

Email yang diverifikasi di liu.se - Beranda

Computer Vision Machine Learning Robot Vision


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Eco: Efficient convolution operators for tracking M Danelljan, G Bhat, F Shahbaz Khan, M Felsberg Proceedings of the IEEE conference on computer vision and pattern …, 2017	3074	2017
Accurate scale estimation for robust visual tracking M Danelljan, G Häger, F Khan, M Felsberg British machine vision conference, Nottingham, September 1-5, 2014, 2014	2707	2014
Learning spatially regularized correlation filters for visual tracking M Danelljan, G Hager, FS Khan, M Felsberg Proceedings of the IEEE international conference on computer vision, 4310-4318, 2015	2598	2015
Beyond correlation filters: Learning continuous convolution operators for visual tracking M Danelljan, A Robinson, F Shahbaz Khan, M Felsberg Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	2216	2016
The visual object tracking vot2015 challenge results M Kristan, R Pflugfelder, A Leonardis, J Matas, F Porikli, L Cehovin, ... Computer Vision Workshops (ICCVW), 2015 IEEE International Conference on, 2015	2185	2015
Adaptive color attributes for real-time visual tracking M Danelljan, F Shahbaz Khan, M Felsberg, J Van de Weijer Proceedings of the IEEE conference on computer vision and pattern …, 2014	2006	2014
Atom: Accurate tracking by overlap maximization M Danelljan, G Bhat, FS Khan, M Felsberg Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	1582	2019
Discriminative scale space tracking M Danelljan, G Häger, FS Khan, M Felsberg IEEE transactions on pattern analysis and machine intelligence 39 (8), 1561-1575, 2016	1494	2016
The visual object tracking vot2017 challenge results M Kristan, R Pflugfelder, A Leonardis, J Matas, F Porikli, L Cehovin, ... Computer Vision Workshops (ICCVW), 2017 IEEE International Conference on, 2017	1278*	2017
Convolutional features for correlation filter based visual tracking M Danelljan, G Hager, F Shahbaz Khan, M Felsberg Proceedings of the IEEE international conference on computer vision …, 2015	1241	2015
The monogenic signal M Felsberg, G Sommer IEEE transactions on signal processing 49 (12), 3136-3144, 2002	1050	2002
Unveiling the power of deep tracking G Bhat, J Johnander, M Danelljan, FS Khan, M Felsberg Proceedings of the European conference on computer vision (ECCV), 483-498, 2018	592	2018
The seventh visual object tracking VOT2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019	591	2019
Adaptive decontamination of the training set: A unified formulation for discriminative visual tracking M Danelljan, G Hager, FS Khan, M Felsberg Proceedings of the IEEE conference on computer vision and pattern …, 2016	506	2016
Deep projective 3D semantic segmentation FJ Lawin, M Danelljan, P Tosteberg, G Bhat, FS Khan, M Felsberg Computer Analysis of Images and Patterns: 17th International Conference …, 2017	432	2017
Using Fourier descriptors and spatial models for traffic sign recognition F Larsson, M Felsberg Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May …, 2011	284	2011
The monogenic scale-space: A unifying approach to phase-based image processing in scale-space M Felsberg, G Sommer Journal of Mathematical Imaging and vision 21, 5-26, 2004	260	2004
Low-level image processing with the structure multivector M Felsberg	232	2002
A generative appearance model for end-to-end video object segmentation J Johnander, M Danelljan, E Brissman, FS Khan, M Felsberg Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	230	2019
Confidence propagation through cnns for guided sparse depth regression A Eldesokey, M Felsberg, FS Khan IEEE transactions on pattern analysis and machine intelligence 42 (10), 2423 …, 2019	228	2019

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