In driving scenes, road agents often engage in frequent interaction and strive to understand
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …

Accuracy of many visiolinguistic tasks has benefited significantly from the application of
vision-and-language (V&L) BERT. However, its application for the task of vision-and …

Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …

Human motion prediction, the task of predicting future 3D human poses given a sequence of
observed ones, has been mostly treated as a deterministic problem. However, human …

We present MM-AU a novel dataset for Multi-Modal Accident video Understanding. MM-AU
contains 11727 in-the-wild ego-view accident videos each with temporally aligned text …

Pedestrian behavior prediction is one of the major challenges for intelligent driving systems.
Pedestrians often exhibit complex behaviors influenced by various contextual elements. To …

With rapid development in hardware (sensors and processors) and AI algorithms, automated
driving techniques have entered the public's daily life and achieved great success in …

Vision-based prediction algorithms have a wide range of applications including autonomous
driving, surveillance, human-robot interaction, weather prediction. The objective of this …

Pedestrian behavior prediction is one of the major challenges for intelligent driving systems
in urban environments. Pedestrians often exhibit a wide range of behaviors and adequate …

Automated and autonomous vehicles are often required to operate in complex road
environments with potential hazards that may lead to hazardous events causing injury or …