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Deep convolutional neural networks for pedestrian detection, , , , , и . (2015)cite arxiv:1510.03608Comment: submitted to Elsevier Signal Processing: Image Communication special Issue on Deep Learning.A methodology for estimating the radiation pattern of a violin during the performance., , , , и . EUSIPCO, стр. 1546-1550. IEEE, (2015)HRTF personalization based on weighted sparse representation of anthropometric features., , , и . IC3D, стр. 1-7. IEEE, (2017)Analyzing notch patterns of head related transfer functions in CIPIC and SYMARE databases., , , и . EUSIPCO, стр. 101-105. IEEE, (2016)A H.264/AVC video database for the evaluation of quality metrics., , , , и . ICASSP, стр. 2430-2433. IEEE, (2010)Surface reconstruction using 3D morphological operators for objects acquired with a multi-Kinect system., , и . MIRAGE, стр. 9:1-9:8. ACM, (2013)Video indexing application based on watermarking using turbocode and side information., , , и . VCIP, том 5150 из Proceedings of SPIE, стр. 1820-1828. SPIE, (2003)Blind Detection and Localization of Video Temporal Splicing Exploiting Sensor-Based Footprints., , , , и . EUSIPCO, стр. 1362-1366. IEEE, (2018)Fast PDE approach to surface reconstruction from large cloud of points., , , и . Comput. Vis. Image Underst., 112 (3): 274-285 (2008)Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes via Emotional Inconsistencies., , , , , , и . CVPR Workshops, стр. 1013-1022. Computer Vision Foundation / IEEE, (2021)