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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
33042017
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
27892014
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
27402015
Beyond correlation filters: Learning continuous convolution operators for visual tracking
M Danelljan, A Robinson, F Shahbaz Khan, M Felsberg
European conference on computer vision, 472-488, 2016
23092016
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
22582015
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
20682014
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
18352019
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
16042016
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
12742015
The monogenic signal
M Felsberg, G Sommer
IEEE transactions on signal processing 49 (12), 3136-3144, 2002
10882002
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
10732018
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
6602019
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
6302018
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
5232016
Deep projective 3D semantic segmentation
FJ Lawin, M Danelljan, P Tosteberg, G Bhat, FS Khan, M Felsberg
International conference on computer analysis of images and patterns, 95-107, 2017
4752017
The eighth visual object tracking VOT2020 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
4242020
Roma: Robust dense feature matching
J Edstedt, Q Sun, G Bökman, M Wadenbäck, M Felsberg
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
3462024
Using Fourier descriptors and spatial models for traffic sign recognition
F Larsson, M Felsberg
Scandinavian conference on image analysis, 238-249, 2011
2982011
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 (1), 5-26, 2004
2622004
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
2572019
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Articles 1–20