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A local feature based on lagrangian measures for violent video classification., , и . ICDP, стр. 1-6. IET / IEEE, (2015)Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data., , , и . AVSS, стр. 1-5. IEEE Computer Society, (2017)High-Speed tracking-by-detection without using image information., , и . AVSS, стр. 1-6. IEEE Computer Society, (2017)Motion modeling for motion vector coding in HEVC., , и . PCS, стр. 154-158. IEEE, (2015)Deep Active Learning for In Situ Plankton Classification., , , , , и . CVAUI/IWCF/MIPPSNA@ICPR, том 11188 из Lecture Notes in Computer Science, стр. 5-15. Springer, (2018)Assessing post-detection filters for a generic pedestrian detector in a tracking-by-detection scheme., , и . AVSS, стр. 1-6. IEEE Computer Society, (2017)Efficient real-time local optical flow estimation by means of integral projections., , , и . ICIP, стр. 2345-2348. IEEE, (2011)Robust Local Optical Flow for Feature Tracking., , и . IEEE Trans. Circuits Syst. Video Techn., 22 (9): 1377-1387 (2012)Multi-Sensor Data Annotation Using Sequence-based Active Learning., , , , , и . IROS, стр. 258-263. IEEE, (2022)Training a convolutional neural network for multi-class object detection using solely virtual world data., , и . AVSS, стр. 278-285. IEEE Computer Society, (2016)