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Martin Danelljan
Martin Danelljan
Researcher, ETH Zurich
Bestätigte E-Mail-Adresse bei vision.ee.ethz.ch - Startseite
Titel
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
26632017
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
25802014
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
23532015
The visual object tracking vot2015 challenge results
M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ...
Proceedings of the IEEE international conference on computer vision …, 2015
21132015
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
20472016
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
19112014
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
13422016
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
11712015
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
11502019
Learning discriminative model prediction for tracking
G Bhat, M Danelljan, LV Gool, R Timofte
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
9942019
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
8002018
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
5102018
Probabilistic regression for visual tracking
M Danelljan, LV Gool, R Timofte
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
4882020
Repaint: Inpainting using denoising diffusion probabilistic models
A Lugmayr, M Danelljan, A Romero, F Yu, R Timofte, L Van Gool
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
4802022
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
4792016
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
4752019
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
3462017
Learning the model update for siamese trackers
L Zhang, A Gonzalez-Garcia, JVD Weijer, M Danelljan, FS Khan
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
3202019
Srflow: Learning the super-resolution space with normalizing flow
A Lugmayr, M Danelljan, L Van Gool, R Timofte
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
2752020
Know your surroundings: Exploiting scene information for object tracking
G Bhat, M Danelljan, L Van Gool, R Timofte
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
2742020
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