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Philip Jacobson

2 accepted papers

2023

Center Feature Fusion: Selective Multi-Sensor Fusion of Center-based Objects

ICRA 2023poster

Leveraging multi-modal fusion, especially between camera and LiDAR, has become essential for building accurate and robust 3D object detection systems for autonomous vehicles. Until recently, point decorating approaches, in which point clouds are augmented with camera features, have been the dominant…

Cited by 10SourceScholar
2023

Doubly-Robust Self-Training

NeurIPS 2023poster

Self-training is a well-established technique in semi-supervised learning, which leverages unlabeled data by generating pseudo-labels and incorporating them with a limited labeled dataset for training. The effectiveness of self-training heavily relies on the accuracy of these pseudo-labels. In this…