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Efficient trajectory extraction and parameter learning for data-driven crowd simulation.

, , and . Graphics Interface, page 65-72. ACM, (2015)

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Efficient trajectory extraction and parameter learning for data-driven crowd simulation., , and . Graphics Interface, page 65-72. ACM, (2015)Human Body Model based ID using Shape and Pose Parameters., , , , , and . IJCB, page 1-9. IEEE, (2023)Velocity-based modeling of physical interactions in multi-agent simulations., , and . Symposium on Computer Animation, page 125-133. ACM, (2013)Velocity-based modeling of physical interactions in dense crowds., , , , , and . Vis. Comput., 31 (5): 541-555 (2015)Towards Understanding Confusion and Affective States Under Communication Failures in Voice-Based Human-Machine Interaction., , , , and . ACII (Workshops and Demos), page 1-5. IEEE, (2021)Interactive and adaptive data-driven crowd simulation., , , , and . VR, page 29-38. IEEE Computer Society, (2016)Mechanical Stress Effects on Dielectric Leakage and Interconnection Integrity in 3D NAND Flash Memory., , , , , , , , , and 3 other author(s). VLSI Technology and Circuits, page 1-2. IEEE, (2024)Simulating Heterogeneous Crowd BehaviorsUsing Personality Trait Theory., , , and . Symposium on Computer Animation, page 43-52. Eurographics Association, (2011)GLMP- realtime pedestrian path prediction using global and local movement patterns., , , , and . ICRA, page 5528-5535. IEEE, (2016)"How to best say it?" : Translating Directives in Machine Language into Natural Language in the Blocks World., and . HAI, page 289-293. ACM, (2021)