Trajectory prediction has been widely pursued in many fields, and many model-based and
model-free methods have been explored. The former include rule-based, geometric or …

The real‐time simulation of human crowds has many applications. Simulating how the
people in a crowd move through an environment is an active and ever‐growing research …

Diversity among agents' behaviors and heterogeneity in virtual crowds in general, is an
important aspect of crowd simulation as it is crucial to the perceived realism and plausibility …

We introduce a novel differentiable hybrid traffic simulator, which simulates traffic using a
hybrid model of both macroscopic and microscopic models and can be directly integrated …

Crowd simulation holds crucial applications in various domains, such as urban planning,
architectural design, and traffic arrangement. In recent years, physics-informed machine …

To prevent disasters and to control and supervise crowds, automated video surveillance has
become indispensable. In today's complex and crowded environments, manual surveillance …

Crowd stampede disasters often occur, such as recent ones in Indonesia and South Korea,
and crowd simulation is particularly important to prevent and avoid such disasters. Most …

Abnormal crowd behavior recognition is one of the research hotspots in computer vision. Its
goal is to use computer vision technology and abnormal behavior detection models to …

Realistic crowd simulation has been pursued for decades, but it still necessitates tedious
human labour and a lot of trial and error. The majority of currently used crowd modelling is …

Navigation through crowded human environments is challenging for social robots. While
reinforcement learning has been adopted for its capacity to capture complex interactions, the …