Search Results for author:
Found 3 papers, 2 papers with code
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation
In this work, we propose to boost the representation learning of a multi-camera BEV based student detector by training it to imitate the features of a well-trained LiDAR based teacher detector.
Self-explaining Hierarchical Model for Intraoperative Time Series
Towards this end, we propose a hierarchical model combining the strength of both attention and recurrent models for intraoperative time series.
Predicting Intraoperative Hypoxemia with Hybrid Inference Sequence Autoencoder Networks
We present an end-to-end model using streaming physiological time series to predict near-term risk for hypoxemia, a rare, but life-threatening condition known to cause serious patient harm during surgery.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
