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User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning., , , , , , , and . CoRR, (2021)Learning Multi-Level Density Maps for Crowd Counting., , , , , , , , , and . IEEE Trans. Neural Networks Learn. Syst., 31 (8): 2705-2715 (2020)Attention Scaling for Crowd Counting., , , , , , , and . CVPR, page 4705-4714. Computer Vision Foundation / IEEE, (2020)Depth Information Guided Crowd Counting for complex crowd scenes., , , , , , and . Pattern Recognit. Lett., (2019)Virtual Network Marathon with immersion, scientificalness, competitiveness, adaptability and learning., , , , , and . Comput. Graph., 36 (3): 185-192 (2012)Transferring priors from virtual data for crowd counting in real world., , , , , , and . Frontiers Comput. Sci., 16 (3): 163314 (2022)Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation., , , , , , , and . IJCAI, page 782-788. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Trajectory distributions: A new description of movement for trajectory prediction., , , , , , and . Comput. Vis. Media, 8 (2): 213-224 (2022)Context-Aware Block Net for Small Object Detection., , , , , , , and . IEEE Trans. Cybern., 52 (4): 2300-2313 (2022)Crowd queuing simulation with an improved emotional contagion model., , , , and . Sci. China Inf. Sci., 62 (4): 44101:1-44101:3 (2019)