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The Seventh Visual Object Tracking VOT2019 Challenge Results.

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Superquadrics for Segmenting and Modeling Range Data., , and . IEEE Trans. Pattern Anal. Mach. Intell., 19 (11): 1289-1295 (1997)Robust Visual Tracking Using an Adaptive Coupled-Layer Visual Model., , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (4): 941-953 (2013)A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors., , , , , , and . Remote Sensing, 8 (11): 928 (2016)Exploring Object-Centric and Scene-Centric CNN Features and Their Complementarity for Human Rights Violations Recognition in Images., , , , and . IEEE Access, (2019)A bottom-up and top-down optimization framework for learning a compositional hierarchy of object classes., , and . CVPR Workshops, page 3. IEEE Computer Society, (2009)Learning Compositional Hierarchies of a Sensorimotor System., and . IDA, volume 8207 of Lecture Notes in Computer Science, page 450-461. Springer, (2013)A Direct Recovery of Superquadric Models in Range Images Using Recover-and-Select Paradigm., , and . ECCV (1), volume 800 of Lecture Notes in Computer Science, page 309-318. Springer, (1994)Automatic Selection of Reference Views for Image-Based Scene Representations., , and . ECCV (1), volume 1064 of Lecture Notes in Computer Science, page 526-535. Springer, (1996)Context Driven Focus of Attention for Object Detection., and . WAPCV, volume 4840 of Lecture Notes in Computer Science, page 216-233. Springer, (2007)Robust Vector Quantization by MDL., and . NC, page 247-253. ICSC Academic Press, International Computer Science Conventions, Canada / Switzerland, (1998)