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RI Seminar: Dinesh Manocha : Velocity-Space Approaches for Multi-agent Crowd Simulations
Velocity-Based Modeling of Physical Interactions in Multi-Agent Simulations for Dense Crowds
Group Modeling: A Unified Velocity-Based Approach
MIG 2019 Day3-11 Scenario Generalization of Data-driven Imitation Models in Crowd Simulation
Efficient Trajectory Extraction and Parameter Learning for Data-Driven Crowd Simulation
A Data-Driven Framework for Visual Crowd Analysis
Parameter Estimation and Comparative Evaluation of Crowd Simulations
The PAG Crowd: A Graph Based Approach for Efficient Data-Driven Crowd Simulation
Crowd Simulation Analytic Tools
Priority driven Local Optimization for Crowd Simulation
continuum crowds simulation with 600 people in two groups
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Last Updated: September 27, 2026
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To simulate the low-level (`microscopic') behavior of human IEEE VR 2016 Video Submission (posted with permission of authors) Interactive and Adaptive Dinesh Manocha Department of Computer Science, University of North Carolina at Chapel Hill February 08, 2013 Abstract From ... We present an interactive algorithm to model physics- By Gang Qiao (Rutgers University), Mubbasir Kapadia (Rutgers University), Sejong Yoon (The College of New Jersey), and ... We present a trajectory extraction and behavior-learning algorithm for We present a novel approach for analyzing the quality of multi-agent We present a novel framework to evaluate multi-agent Analytic Tools – Analytic tools are needed to quantify the features of demo of my final project for Module CS5343. two group with 600 people in total. The green group is trying to move to the top-left ...
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