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Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Deep neural networks are a key component of behavior prediction and moti...
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MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Predicting human behavior is a difficult and crucial task required for m...
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ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
Our goal is to train a policy for autonomous driving via imitation learn...
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Geometric Polynomial Constraints in Higher-Order Graph Matching
Correspondence is a ubiquitous problem in computer vision and graph matc...
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Mayank Bansal
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