91 citations · 95 across the 2 of their papers we have counts for
4 papers
An Anti-fraud System for Car Insurance Claim Based on Visual Evidence
Pei Li, Bingyu Shen, Weishan Dong
Automatically scene understanding using machine learning algorithms has been widely applied to different industries to reduce the cost of manual labor. Nowadays, insurance companie…
Autoencoder Regularized Network For Driving Style Representation Learning
Weishan Dong, Ting Yuan, Kai Yang +2
In this paper, we study learning generalized driving style representations from automobile GPS trip data. We propose a novel Autoencoder Regularized deep neural Network (ARNet) and…
Characterizing Driving Styles with Deep Learning
Weishan Dong, Jian Li, Renjie Yao +3
Characterizing driving styles of human drivers using vehicle sensor data, e.g., GPS, is an interesting research problem and an important real-world requirement from automotive indu…
Self-Paced Multi-Task Learning
Changsheng Li, Junchi Yan, Fan Wei +3
In this paper, we propose a novel multi-task learning (MTL) framework, called Self-Paced Multi-Task Learning (SPMTL). Different from previous works treating all tasks and instances…