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Scale-Aware Crowd Counting via Depth-Embedded Convolutional Neural Networks.

, , , , , и . IEEE Trans. Circuits Syst. Video Technol., 30 (10): 3651-3662 (2020)

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Zhao Zhao

Yanning Zhao

Hertz-level ultra-stable laser and its application to high precision spectroscopy. Uni Erlangen-Nürnberg, (2009)

Su Zhao

Xiaojian Zhao

Li Zhao

 

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Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting., , , и . CVPR, стр. 12736-12745. Computer Vision Foundation / IEEE, (2019)Decorrelation-stretch based cloud detection for total sky images., , , , и . VCIP, стр. 1-4. IEEE, (2015)Triple Attention For Robust Video Crowd Counting., , , , и . ICIP, стр. 1966-1970. IEEE, (2020)Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks., , , и . ACCV (6), том 11366 из Lecture Notes in Computer Science, стр. 247-261. Springer, (2018)High-density Visual Crowd Counting with Perspective Understanding in Deep Neural Networks. University of Technology Sydney, Australia, (2020)Alleviating Tracking Model Degradation Using Interpolation-Based Progressive Updating., , , , и . Domain Adaptation for Visual Understanding, Springer, (2020)Weakly Supervised Crowd-Wise Attention For Robust Crowd Counting., , , и . ICASSP, стр. 2722-2726. IEEE, (2020)Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling., , , , , и . ICRA, стр. 5075-5081. IEEE, (2021)Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling., , , , , и . CoRR, (2020)Semantically Guided Bi-level Adaptation for Cross Domain Crowd Counting., , и . PRCV (11), том 14435 из Lecture Notes in Computer Science, стр. 327-338. Springer, (2023)