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Found 3 papers, 3 papers with code
TrajPRed: Trajectory Prediction with Region-based Relation Learning
We integrate multi-goal estimation and region-based relation learning to model the two stimuli, social interactions, and stochastic goals, in a prediction framework.
FOCAL: A Cost-Aware Video Dataset for Active Learning
In this paper, we introduce the FOCAL (Ford-OLIVES Collaboration on Active Learning) dataset which enables the study of the impact of annotation-cost within a video active learning setting.
Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior
In smart transportation, intelligent systems avoid potential collisions by predicting the intent of traffic agents, especially pedestrians.
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