Joakim Johnander
Joakim Johnander
PhD Student, Computer Vision Lab, Linköping University
Verified email at liu.se
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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
3212018
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
2232018
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
532019
DCCO: Towards deformable continuous convolution operators for visual tracking
J Johnander, M Danelljan, FS Khan, M Felsberg
International Conference on Computer Analysis of Images and Patterns, 55-67, 2017
132017
Semi-automatic annotation of objects in visual-thermal video
A Berg, J Johnander, F Durand de Gevigney, J Ahlberg, M Felsberg
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
82019
Learning Video Instance Segmentation with Recurrent Graph Neural Networks
J Johnander, E Brissman, M Danelljan, M Felsberg
arXiv preprint arXiv:2012.03911, 2020
22020
Visual tracking with deformable continuous convolution operators
J Johnander
12017
Deep Gaussian Processes for Few-Shot Segmentation
J Johnander, J Edstedt, M Danelljan, M Felsberg, FS Khan
arXiv preprint arXiv:2103.16549, 2021
2021
On the Optimization of Advanced DCF-Trackers
J Johnander, G Bhat, M Danelljan, F Shahbaz Khan, M Felsberg
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
2018
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Articles 1–9