Modeling of Small Groups in Computational Sciences: A Prospecting Review

MH Jackson - Small Group Research, 2024 - journals.sagepub.com
Small group researchers are increasingly called to engage the computational sciences. One
challenge in answering this call is the lack of information concerning what the study of small …

A Bio-inspired Model for Bee Simulations

Q Chen, W Guo, Y Fang, Y Tong, T Lu… - … on Visualization and …, 2024 - ieeexplore.ieee.org
As eusocial creatures, bees display unique macro collective behavior and local body
dynamics that hold potential applications in various fields, such as computer animation …

Surveying the evolution of virtual humans expressiveness toward real humans

P Knob, G Pinho, GF Silva, R Montanha, V Peres… - Computers & …, 2024 - Elsevier
Abstract Virtual Humans (VHs) emerged over 50 years ago and have since experienced
notable advancements. Initially, developing and animating VHs posed significant …

Learning to Move Like Professional Counter-Strike Players

D Durst, F Xie, V Sarukkai, B Shacklett, I Frosio… - arXiv preprint arXiv …, 2024 - arxiv.org
In multiplayer, first-person shooter games like Counter-Strike: Global Offensive (CS: GO),
coordinated movement is a critical component of high-level strategic play. However, the …

SocialGAIL: Faithful Crowd Simulation for Social Robot Navigation

B Ling, Y Lyu, D Li, G Gao, Y Shi… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Navigation through crowded human environments is challenging for social robots. While
reinforcement learning has been adopted for its capacity to capture complex interactions, the …

Generating natural pedestrian crowds by learning real crowd trajectories through a transformer-based GAN

D Yan, G Ding, K Huang, T Huang - The Visual Computer, 2024 - Springer
Traditional methods for constructing crowd simulations often have shortcomings in terms of
realism, and data-driven methods are an effective approach to enhancing the visual realism …

Agent-based crowd simulation: an in-depth survey of determining factors for heterogeneous behavior

S Khan, Z Deng - The Visual Computer, 2024 - Springer
In recent years, the field of crowd simulation has experienced significant advancements,
attributed in part to the improvement of hardware performance, coupled with a notable …

Emergent Crowd Grouping via Heuristic Self-Organization

XC Liao, WN Chen, XL Chen, Y Mei - arXiv preprint arXiv:2407.00674, 2024 - arxiv.org
Modeling crowds has many important applications in games and computer animation.
Inspired by the emergent following effect in real-life crowd scenarios, in this work, we …

Introducing Anisotropic Fields for Enhanced Diversity in Crowd Simulation

Y Li, J Liu, X Guan, H Hou, T Huang - arXiv preprint arXiv:2409.15831, 2024 - arxiv.org
Large crowds exhibit intricate behaviors and significant emergent properties, yet existing
crowd simulation systems often lack behavioral diversity, resulting in homogeneous …

Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement Learning

F Lu, M Chen, H Hsu, P Deshpande, CY Wang… - Extended Abstracts of …, 2024 - dl.acm.org
Mixed Reality (MR) could assist users' tasks by continuously integrating virtual content with
their view of the physical environment. However, where and how to place these content to …