3 accepted papers
With the proliferation of autonomous vehicles (AVs) and their increasing interaction and communication with the riders, how to ground or locate the visual objects of interests (OoIs), such as the concerned pedestrians and other traffic participants, based on the human riders’ natural language and co…
The dynamic movement of the human body presents a fundamental challenge for human pose estimation and body segmentation. State-of-the-art approaches primarily rely on combining keypoint heatmaps with segmentation masks, but often struggle in scenarios involving overlapping joints during pose estimat
Understanding and learning the actor-to-X inter-actions (AXIs), such as those between the focal vehicles (actor) and other traffic participants (e.g., other vehicles, pedestrians) as well as traffic environments (e.g., city/road map), is essential for the development of a decision-making model and s…