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Found 4 papers, 2 papers with code
Video Pre-trained Transformer: A Multimodal Mixture of Pre-trained Experts
Our backbone, based on a reference Flan-T5-11B architecture, learns a universal representation of the video that is a non-linear sum of the encoder models.
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material)
In addition, the attention data in our dataset is captured in both manual and autopilot modes using eye-tracking devices of different resolutions.
Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction
We employ MESRNN for pedestrian trajectory prediction, utilizing these meta-path based features to capture the relationships between the trajectories of pedestrians at different points in time and space.
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset
In addition, the attention data in our dataset is captured in both manual and autopilot modes using eye-tracking devices of different resolutions.
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