Hierarchical Convolutional Features for Visual Tracking

Articles citing Hierarchical Convolutional Features for Visual Tracking

Title / Author	Year
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
Fully-convolutional siamese networks for object tracking L Bertinetto, J Valmadre, JF Henriques, A Vedaldi, PHS Torr European conference on computer vision, 850-865	2016
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
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
Hedged deep tracking Y Qi, S Zhang, L Qin, H Yao, Q Huang, J Lim, MH Yang Proceedings of the IEEE conference on computer vision and pattern …	2016
End-to-end representation learning for correlation filter based tracking J Valmadre, L Bertinetto, J Henriques, A Vedaldi, PHS Torr Proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
The visual object tracking vot2017 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... Proceedings of the IEEE International Conference on Computer Vision, 1949-1972	2017
Co-saliency detection via a self-paced multiple-instance learning framework D Zhang, D Meng, J Han IEEE transactions on pattern analysis and machine intelligence 39 (5), 865-878	2016
Discriminative correlation filter with channel and spatial reliability A Lukezic, T Vojir, L ˇCehovin Zajc, J Matas, M Kristan Proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
Learning background-aware correlation filters for visual tracking H Kiani Galoogahi, A Fagg, S Lucey Proceedings of the IEEE International Conference on Computer Vision, 1135-1143	2017
Stct: Sequentially training convolutional networks for visual tracking L Wang, W Ouyang, X Wang, H Lu Proceedings of the IEEE conference on computer vision and pattern …	2016
Context-aware correlation filter tracking M Mueller, N Smith, B Ghanem Proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
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
Large margin object tracking with circulant feature maps M Wang, Y Liu, Z Huang Proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
Crest: Convolutional residual learning for visual tracking Y Song, C Ma, L Gong, J Zhang, RWH Lau, MH Yang Proceedings of the IEEE International Conference on Computer Vision, 2555-2564	2017
Modeling and propagating cnns in a tree structure for visual tracking H Nam, M Baek, B Han arXiv preprint arXiv:1608.07242	2016
Video segmentation via object flow YH Tsai, MH Yang, MJ Black Proceedings of the IEEE conference on computer vision and pattern …	2016
Video salient object detection via fully convolutional networks W Wang, J Shen, L Shao IEEE Transactions on Image Processing 27 (1), 38-49	2017
Multi-task correlation particle filter for robust object tracking T Zhang, C Xu, MH Yang Proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
Object tracking via dual linear structured SVM and explicit feature map J Ning, J Yang, S Jiang, L Zhang, MH Yang Proceedings of the IEEE conference on computer vision and pattern …	2016

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