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Tracking Human Under Occlusion Based on Adaptive Multiple Kernels With Projected Gradients.

, , , and . IEEE Trans. Multim., 15 (7): 1602-1615 (2013)

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Camera link model estimation in a distributed camera network based on the deterministic annealing and the barrier method., , , and . ICASSP, page 997-1000. IEEE, (2012)Rethinking Deep Face Restoration., , , , , , , and . CVPR, page 7642-7651. IEEE, (2022)Fully Unsupervised Learning of Camera Link Models for Tracking Humans Across Nonoverlapping Cameras., and . IEEE Trans. Circuits Syst. Video Techn., 24 (6): 979-994 (2014)Human tracking by adaptive Kalman filtering and multiple kernels tracking with projected gradients., , , and . ICDSC, page 1-6. IEEE, (2011)A privacy-preserving human tracking scheme in centralized cloud based camera networks., , , and . ICC, page 793-798. IEEE, (2014)Distributed Personalization., , , , , and . KDD, page 1989-1998. ACM, (2015)Tracking across multiple cameras with overlapping views based on brightness and tangent transfer functions., , , and . ICDSC, page 1-6. IEEE, (2011)Distilling Vision-Language Models on Millions of Videos., , , , , , , , , and 2 other author(s). CoRR, (2024)Tracking across nonoverlapping cameras based on the unsupervised learning of camera link models., , , and . ICDSC, page 1-6. IEEE, (2012)BasisNet: Two-Stage Model Synthesis for Efficient Inference., , , , , , , , and . CVPR Workshops, page 3081-3090. Computer Vision Foundation / IEEE, (2021)