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Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting., , , and . CVPR, page 12736-12745. Computer Vision Foundation / IEEE, (2019)Decorrelation-stretch based cloud detection for total sky images., , , , and . VCIP, page 1-4. IEEE, (2015)Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks., , , and . CoRR, (2019)Scale-Aware Crowd Counting via Depth-Embedded Convolutional Neural Networks., , , , , and . IEEE Trans. Circuits Syst. Video Technol., 30 (10): 3651-3662 (2020)Triple Attention For Robust Video Crowd Counting., , , , and . ICIP, page 1966-1970. IEEE, (2020)Towards Locally Consistent Object Counting with Constrained Multi-stage Convolutional Neural Networks., , , and . ACCV (6), volume 11366 of Lecture Notes in Computer Science, page 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., , , , and . Domain Adaptation for Visual Understanding, Springer, (2020)Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling., , , , , and . CoRR, (2020)Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling., , , , , and . ICRA, page 5075-5081. IEEE, (2021)