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Michael Felsberg
Michael Felsberg
Professor of Computer Vision, Linköping University
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Zitiert von
Zitiert von
Jahr
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
30072017
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
26812014
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
25672015
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
21932016
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
21622015
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
19872014
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
15222019
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
14702016
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
1237*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
12342015
The monogenic signal
M Felsberg, G Sommer
IEEE transactions on signal processing 49 (12), 3136-3144, 2001
10462001
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
5822018
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
5742019
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
5042016
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
4192017
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
2782011
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
2602004
Low-level image processing with the structure multivector
M Felsberg
2312002
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
2262019
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
2172019
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