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Found 4 papers, 1 papers with code
A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos
Eye-tracking applications that utilize the human gaze in video understanding tasks have become increasingly important.
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention
We introduce the Gaze-guided Action Anticipation algorithm, which establishes a visual-semantic graph from the video input.
SyNet: An Ensemble Network for Object Detection in UAV Images
Recent advances in camera equipped drone applications and their widespread use increased the demand on vision based object detection algorithms for aerial images.
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory
In this paper, a synergistic combination of deep reinforcement learning and hierarchical game theory is proposed as a modeling framework for behavioral predictions of drivers in highway driving scenarios.
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