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Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting., , , , , , and . ICCV, page 16045-16055. IEEE, (2021)Towards Learning Multi-Domain Crowd Counting., , , , and . IEEE Trans. Circuits Syst. Video Technol., 33 (11): 6544-6557 (November 2023)Perspective-Guided Convolution Networks for Crowd Counting., , , , , , and . ICCV, page 952-961. IEEE, (2019)Prune it Yourself: Automated Pruning by Multiple Level Sensitivity., , , and . MIPR, page 73-78. IEEE, (2020)Crowd Counting via Perspective-Guided Fractional-Dilation Convolution., , , , and . CoRR, (2021)Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting., , , , and . CoRR, (2024)An Improved Normed-Deformable Convolution for Crowd Counting., , , , and . CoRR, (2022)Regressor-Segmenter Mutual Prompt Learning for Crowd Counting., , , , , and . CoRR, (2023)Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations., , , , , , and . AAAI, page 6591-6598. AAAI Press, (2020)Crowd Counting Via Perspective-Guided Fractional-Dilation Convolution., , , , and . IEEE Trans. Multim., (2022)