Visual Tracking via Dynamic Graph Learning
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Liang Lin | Ming-Hsuan Yang | Wangmeng Zuo | Chenglong Li | Jin Tang | Ming-Hsuan Yang | Liang Lin | W. Zuo | Jin Tang | Chenglong Li
[1] Jiri Matas,et al. Discriminative Correlation Filter with Channel and Spatial Reliability , 2017, CVPR.
[2] Haibin Ling,et al. Real time robust L1 tracker using accelerated proximal gradient approach , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Rui Caseiro,et al. High-Speed Tracking with Kernelized Correlation Filters , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Zhe Chen,et al. MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Luca Bertinetto,et al. Fully-Convolutional Siamese Networks for Object Tracking , 2016, ECCV Workshops.
[6] Huchuan Lu,et al. Robust Superpixel Tracking , 2014, IEEE Transactions on Image Processing.
[7] Zhixun Su,et al. Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation , 2011, NIPS.
[8] Ehsan Elhamifar,et al. Sparse subspace clustering , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[9] Yang Li,et al. Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Bohyung Han,et al. Learning Multi-domain Convolutional Neural Networks for Visual Tracking , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Thomas Hofmann,et al. Large Margin Methods for Structured and Interdependent Output Variables , 2005, J. Mach. Learn. Res..
[12] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Shai Avidan,et al. Locally Orderless Tracking , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Liang Lin,et al. Learning Patch-Based Dynamic Graph for Visual Tracking , 2017, AAAI.
[15] Stan Sclaroff,et al. MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization , 2014, ECCV.
[16] Ming-Hsuan Yang,et al. Long-term correlation tracking , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Vibhav Vineet,et al. Struck: Structured Output Tracking with Kernels , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Junseok Kwon,et al. PICASO: PIxel correspondences and SOft match selection for real-time tracking , 2016, Comput. Vis. Image Underst..
[19] Tong Zhang,et al. Accelerating Stochastic Gradient Descent using Predictive Variance Reduction , 2013, NIPS.
[20] Arvind Ganesh,et al. Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix , 2009 .
[21] Michael Felsberg,et al. Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking , 2016, ECCV.
[22] Han-Ul Kim,et al. Locator-Checker-Scaler Object Tracking Using Spatially Ordered and Weighted Patch Descriptor , 2017, IEEE Transactions on Image Processing.
[23] Liang Lin,et al. PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures With Edge-Preserving Coherence , 2015, IEEE Transactions on Image Processing.
[24] Rynson W. H. Lau,et al. Visual Tracking via Locality Sensitive Histograms , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Xiaojie Guo,et al. Robust Subspace Segmentation by Simultaneously Learning Data Representations and Their Affinity Matrix , 2015, IJCAI.
[26] Shuicheng Yan,et al. NUS-PRO: A New Visual Tracking Challenge , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Ming-Hsuan Yang,et al. Hierarchical Convolutional Features for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[28] Hui Cheng,et al. Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking , 2016, IEEE Transactions on Image Processing.
[29] S. Frick,et al. Compressed Sensing , 2014, Computer Vision, A Reference Guide.
[30] Huchuan Lu,et al. Visual tracking via adaptive structural local sparse appearance model , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Michael Felsberg,et al. Learning Spatially Regularized Correlation Filters for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[32] Junseok Kwon,et al. Visual tracking decomposition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[33] Luca Bertinetto,et al. Staple: Complementary Learners for Real-Time Tracking , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Liang Lin,et al. An Approach to Streaming Video Segmentation With Sub-Optimal Low-Rank Decomposition , 2016, IEEE Transactions on Image Processing.
[35] Horst Bischof,et al. Semi-supervised On-Line Boosting for Robust Tracking , 2008, ECCV.
[36] Huchuan Lu,et al. Robust object tracking via sparsity-based collaborative model , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Huchuan Lu,et al. Correlation Tracking via Joint Discrimination and Reliability Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[38] Zhenyu He,et al. The Visual Object Tracking VOT2016 Challenge Results , 2016, ECCV Workshops.
[39] Wotao Yin,et al. A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion , 2013, SIAM J. Imaging Sci..
[40] Huchuan Lu,et al. Saliency Detection via Graph-Based Manifold Ranking , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Ming-Hsuan Yang,et al. Object Tracking Benchmark , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] Haibin Ling,et al. Robust Visual Tracking and Vehicle Classification via Sparse Representation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] Yong Yu,et al. Robust Recovery of Subspace Structures by Low-Rank Representation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Han-Ul Kim,et al. SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[45] Stefan Duffner,et al. PixelTrack: A Fast Adaptive Algorithm for Tracking Non-rigid Objects , 2013, ICCV.
[46] Ming-Hsuan Yang,et al. Robust Object Tracking with Online Multiple Instance Learning , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[47] Dit-Yan Yeung,et al. Learning a Deep Compact Image Representation for Visual Tracking , 2013, NIPS.
[48] Matej Kristan,et al. Deformable Parts Correlation Filters for Robust Visual Tracking , 2016, IEEE Transactions on Cybernetics.
[49] Dorin Comaniciu,et al. Kernel-Based Object Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[50] Ehud Rivlin,et al. Robust Fragments-based Tracking using the Integral Histogram , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[51] Shuicheng Yan,et al. SOLD: Sub-optimal low-rank decomposition for efficient video segmentation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Michael Felsberg,et al. Accurate Scale Estimation for Robust Visual Tracking , 2014, BMVC.
[53] Jianke Zhu,et al. A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration , 2014, ECCV Workshops.
[54] Patrick Pérez,et al. Color-Based Probabilistic Tracking , 2002, ECCV.
[55] Changsheng Xu,et al. Multi-task Correlation Particle Filter for Robust Object Tracking , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[56] Changsheng Xu,et al. Partial Occlusion Handling for Visual Tracking via Robust Part Matching , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[57] Guillermo Sapiro,et al. Sparse Representation for Computer Vision and Pattern Recognition , 2010, Proceedings of the IEEE.