Martin Danelljan
Martin Danelljan
Researcher, ETH Zurich
Adresse e-mail validée de vision.ee.ethz.ch - Page d'accueil
Titre
Citée par
Citée par
Année
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
18312014
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
14382015
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
14012014
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
12952015
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
12852017
Beyond correlation filters: Learning continuous convolution operators for visual tracking
M Danelljan, A Robinson, FS Khan, M Felsberg
European conference on computer vision, 472-488, 2016
12132016
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
7652015
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
7442016
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
3262016
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
3192018
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
2542019
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
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
1782019
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
1142017
The thermal infrared visual object tracking VOT-TIR2015 challenge results
M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, ...
Proceedings of the ieee international conference on computer vision …, 2015
1072015
Deep motion features for visual tracking
S Gladh, M Danelljan, FS Khan, M Felsberg
2016 23rd international conference on pattern recognition (ICPR), 1243-1248, 2016
722016
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
Learning the model update for siamese trackers
L Zhang, A Gonzalez-Garcia, J Weijer, M Danelljan, FS Khan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
522019
Probabilistic regression for visual tracking
M Danelljan, LV Gool, R Timofte
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
432020
Synthetic data generation for end-to-end thermal infrared tracking
L Zhang, A Gonzalez-Garcia, J van de Weijer, M Danelljan, FS Khan
IEEE Transactions on Image Processing 28 (4), 1837-1850, 2018
422018
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20