2 citations · 5 across the 4 of their papers we have counts for
4 papers
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves
Jiayan Cao, Xueyu Zhu, Cheng Qian
Lane detection plays a critical role in the field of autonomous driving. Prevailing methods generally adopt basic concepts (anchors, key points, etc.) from object detection and seg…
Uncertainty quantification for deeponets with ensemble kalman inversion
Andrew Pensoneault, Xueyu Zhu
In recent years, operator learning, particularly the DeepONet, has received much attention for efficiently learning complex mappings between input and output functions across diver…
Forward and inverse problems for Eikonal equation based on DeepONet
Yifan Mei, Yijie Zhang, Xueyu Zhu +1
Seismic forward and inverse problems are significant research areas in geophysics. However, the time burden of traditional numerical methods hinders their applications in scenarios…
Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion
Andrew Pensoneault, Xueyu Zhu
Bayesian Physics Informed Neural Networks (B-PINNs) have gained significant attention for inferring physical parameters and learning the forward solutions for problems based on par…