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Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model.

, , , , , и . ICIC (2), том 11644 из Lecture Notes in Computer Science, стр. 558-568. Springer, (2019)

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Bing Wang

Bing Wang

Bing Shan

Richard Bing

Bing Chen

 

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Multiple Classification Network of Concrete Defects Based on Improved EfficientNetV2., , , , , , , , и . ICIC (2), том 14087 из Lecture Notes in Computer Science, стр. 626-638. Springer, (2023)Molecular Dynamics Simulations on Evaporation of Droplets with Dissolved Salts., , , и . Entropy, 15 (4): 1232-1246 (2013)Dynamic block-cycling over a linear network in underwater acoustic channels., , , , и . WUWNet, стр. 30. ACM, (2012)Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks., , , , , , и . IEEE Trans. Image Processing, 25 (7): 2983-2996 (2016)Self-adapting part-based pedestrian detection using a fish-eye camera., , , и . Intelligent Vehicles Symposium, стр. 33-38. IEEE, (2017)Pole-Based Real-Time Localization for Autonomous Driving in Congested Urban Scenarios., , , , и . RCAR, стр. 96-101. IEEE, (2018)Cluster-Based Parallel Simulation for Large Scale Molecular Dynamics in Microscale Thermophysics., , и . ISPA, том 3358 из Lecture Notes in Computer Science, стр. 200-211. Springer, (2004)Spot the Difference: Accuracy of Numerical Simulations via the Human Visual System, , , и . (2019)cite arxiv:1907.04179Comment: 29 pages, 18 figures, 2 tables, more information: https://ge.in.tum.de/publications/2019-spotdiff-um/.Monocular Visual-Inertial Odometry Based on Sparse Feature Selection with Adaptive Grid., , , и . Intelligent Vehicles Symposium, стр. 1842-1847. IEEE, (2018)An Efficient Hierarchical Convolutional Neural Network for Traffic Object Detection., , , и . Intelligent Vehicles Symposium, стр. 126-131. IEEE, (2018)