Weighted Bayesian Gaussian Mixture Model for Roadside LiDAR Object Detection

no code implementations • 20 Apr 2022 • Tianya Zhang, Yi Ge, Peter J. Jin

In early studies, the probabilistic background modeling methods widely used for the video-based system were considered unsuitable for roadside LiDAR surveillance systems due to the sparse and unstructured point cloud data.

Descriptive object-detection +1

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training

no code implementations • 21 Oct 2020 • Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Ju Lu

However, the cross entropy loss can not take the different importance of each class in an self-driving system into account.

Segmentation Self-Driving Cars +1

Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis

no code implementations • 3 Nov 2019 • Xiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Lu Jun

In this paper, we target on this task from the perspective of loss function.

Binary Classification Medical Diagnosis