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Velocity-based modeling of physical interactions in dense crowds., , , , , и . Vis. Comput., 31 (5): 541-555 (2015)Efficient trajectory extraction and parameter learning for data-driven crowd simulation., , и . Graphics Interface, стр. 65-72. ACM, (2015)Human Body Model based ID using Shape and Pose Parameters., , , , , и . IJCB, стр. 1-9. IEEE, (2023)Towards Understanding Confusion and Affective States Under Communication Failures in Voice-Based Human-Machine Interaction., , , , и . ACII (Workshops and Demos), стр. 1-5. IEEE, (2021)Velocity-based modeling of physical interactions in multi-agent simulations., , и . Symposium on Computer Animation, стр. 125-133. ACM, (2013)Interactive and adaptive data-driven crowd simulation., , , , и . VR, стр. 29-38. IEEE Computer Society, (2016)Learning Invariant World State Representations with Predictive Coding., , и . CoRR, (2022)GLMP- realtime pedestrian path prediction using global and local movement patterns., , , , и . ICRA, стр. 5528-5535. IEEE, (2016)Simulating Heterogeneous Crowd BehaviorsUsing Personality Trait Theory., , , и . Symposium on Computer Animation, стр. 43-52. Eurographics Association, (2011)Predicting Pedestrian Trajectories Using Velocity-Space Reasoning., , , , , и . WAFR, том 86 из Springer Tracts in Advanced Robotics, стр. 609-623. Springer, (2012)