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Michael Felsberg
Michael Felsberg
Professor of Computer Vision, Linköping University
Verified email at liu.se - Homepage
Title
Cited by
Cited by
Year
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
24452017
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
24322014
Learning spatially regularized correlation filters for visual tracking
M Danelljan, G Hager, F Shahbaz Khan, M Felsberg
Proceedings of the IEEE international conference on computer vision, 4310-4318, 2015
22062015
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
20382015
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
19192016
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
18222014
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
12042016
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
11182015
The monogenic signal
M Felsberg, G Sommer
IEEE transactions on signal processing 49 (12), 3136-3144, 2001
10002001
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
9712019
The sixth visual object tracking vot2018 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018
7812018
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
4632018
Adaptive decontamination of the training set: A unified formulation for discriminative visual tracking
M Danelljan, G Hager, F Shahbaz Khan, M Felsberg
Proceedings of the IEEE conference on computer vision and pattern …, 2016
4532016
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
4182019
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
2992017
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
2482004
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
2382011
Low-level image processing with the structure multivector
M Felsberg
2192002
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
189*2017
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
1672019
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