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Comparison of infrared and visible imagery for object tracking: Toward trackers with superior IR performance., , , , , и . CVPR Workshops, стр. 1-9. IEEE Computer Society, (2015)Nestle: Interest point extraction via nested circles., и . SIU, стр. 1-4. IEEE, (2012)Multiple model adaptive visual tracking with correlation filters., и . ICIP, стр. 661-665. IEEE, (2015)Good features to correlate for visual tracking ; Korelasyon ile görsel takip için iyi öznitelikler.. Middle East Technical University, Çankaya, Ankara, Turkey, (2017)base-search.net (ftmetuankair:oai:https://open.metu.edu.tr:11511/26941).Shape Reconstruction by Learning Differentiable Surface Representations., , , , и . CVPR, стр. 4715-4724. Computer Vision Foundation / IEEE, (2020)Digital computation of fractional Fourier and linear canonical transforms and sparse image representation., , , , и . APSIPA, стр. 111-117. IEEE, (2017)Ensemble Of adaptive correlation filters for robust visual tracking., , и . AVSS, стр. 15-22. IEEE Computer Society, (2016)Object classification in infrared images using deep representations., , и . ICIP, стр. 1066-1070. IEEE, (2016)GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping., , , , , и . ICCV, стр. 8738-8747. IEEE, (2019)The Sixth Visual Object Tracking VOT2018 Challenge Results., , , , , , , , , и 145 other автор(ы). ECCV Workshops (1), том 11129 из Lecture Notes in Computer Science, стр. 3-53. Springer, (2018)