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DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates
It abstracts the shape prior of a category, and thus can provide constraints on the overall shape of an instance.
LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection
At each time step, this sampling strategy first estimates current action progression and then decide what temporal ranges should be used to aggregate the optimal supplementary features.
Neuromorphic Visual Odometry System for Intelligent Vehicle Application with Bio-inspired Vision Sensor
The neuromorphic camera is a brand new vision sensor that has emerged in recent years.
Robotics
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