5 accepted papers
Creative Generation (CG) leverages generative models to automatically produce advertising content that highlights product features, and it has been a significant focus of recent research. However, while CG has advanced considerably, most efforts have concentrated on generating advertising text and i…
This paper proposes a Planar-Sector Line-of-Sight (PS-LOS) guidance law and an accompanying control stack for lifting-wing quadcopters, enabling robust image-based interception of agile targets. The PS-LOS relaxes conventional conical constraints, preserving maneuverability while reducing aerodynami…
Safety is a critical requirement in robotics, leading to extensive research in Safe Reinforcement Learning. While most existing methods utilize soft constraints to limit cumulative violations, robotic control scenarios demand that instantaneous safety costs also converge rapidly following a safety e
Modeling task-driven attention in driving is a fundamental challenge for both autonomous vehicles and cognitive science. Existing methods primarily predict where drivers look by generating spatial heatmaps, but fail to capture the cognitive motivations behind attention allocation in specific context…
Most existing attention prediction research focuses on salient instances like humans and objects. However the more complex interaction-oriented attention arising from the comprehension of interactions between instances by human observers remains largely unexplored. This is equally crucial for advanc…