MGFormer: a multi-information-based GRU-transformer network for pedestrian trajectory prediction.

Non-probability sampling network based on anomaly pedestrian trajectory discrimination for pedestrian trajectory prediction.

Physics constrained pedestrian trajectory prediction with probability quantification.

Neural differential constraint-based pedestrian trajectory prediction model in ego-centric perspective.

SFOD-Trans: semi-supervised fine-grained object detection framework with transformer module.