Trajectory prediction plays an important role in various applications including autonomous
driving robotics and scene understanding. Existing approaches mainly focus on developing …

Abstract Language models have demonstrated impressive ability in context understanding
and generative performance. Inspired by the recent success of language foundation models …

Tracking pedestrian flow in large public areas is vital, yet ensuring privacy is paramount.
Traditional visual-based tracking systems are raising concerns for potentially obtaining …

Social relations have substantial impacts on the potential trajectories of each individual.
Modeling these dynamics has been a central solution for more precise and accurate …

There are five types of trajectory prediction tasks: deterministic stochastic domain adaptation
momentary observation and few-shot. These associated tasks are defined by various factors …

Trajectory prediction is a challenging problem that requires considering interactions among
multiple actors and the surrounding environment. While data-driven approaches have been …

Accurate pedestrian trajectory prediction is essential for the advancement of intelligent robot
or autonomous vehicle, which is a challenging and interesting task. In this paper, a Scene …

Accurate pedestrian trajectory prediction is crucial for various applications, and it requires a
deep understanding of pedestrian motion patterns in dynamic environments. However …

Social robot navigation can be helpful in various contexts of daily life but requires safe
human-robot interactions and efficient trajectory planning. While modeling pairwise relations …

Autonomous vehicles offer significant advantages for transportation systems, particularly in
enhancing traffic safety. To achieve this goal, it is crucial to comprehensively understand …