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MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views
We show that our multi-view, multi-stage, multi-class approach is able to detect and classify objects while simultaneously determining the drivable space using a single LiDAR scan as input, in challenging scenes with more than one hundred vehicles and pedestrians at a time.
Learning Semantic Vector Representations of Source Code via a Siamese Neural Network
The abundance of open-source code, coupled with the success of recent advances in deep learning for natural language processing, has given rise to a promising new application of machine learning to source code.
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