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Single Shot Multitask Pedestrian Detection and Behavior Prediction
Detecting and predicting the behavior of pedestrians is extremely crucial for self-driving vehicles to plan and interact with them safely.
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction
Trajectory or behavior prediction of traffic agents is an important component of autonomous driving and robot planning in general.
Structured Memory based Deep Model to Detect as well as Characterize Novel Inputs
While deep learning has pushed the boundaries in various machine learning tasks, the current models are still far away from replicating many functions that a normal human brain can do.
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