Search Results for author: Andreas Hartmannsgruber

Found 4 papers, 2 papers with code

PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer

no code implementations22 Apr 2024 Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber

Point cloud registration is a fundamental technique in 3-D computer vision with applications in graphics, autonomous driving, and robotics.

Image Patch-Matching with Graph-Based Learning in Street Scenes

no code implementations8 Nov 2023 Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yong Liang Guan, Diego Navarro Navarro, Andreas Hartmannsgruber

Matching landmark patches from a real-time image captured by an on-vehicle camera with landmark patches in an image database plays an important role in various computer perception tasks for autonomous driving.

Autonomous Driving Metric Learning +1

RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments

1 code implementation21 Nov 2022 Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro

Experiments demonstrate that RobustLoc surpasses current state-of-the-art camera pose regression models and achieves robust performance in various environments.

Autonomous Driving camera absolute pose regression +2

Building Facade Parsing R-CNN

1 code implementation12 May 2022 Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber

Building facade parsing, which predicts pixel-level labels for building facades, has applications in computer vision perception for autonomous vehicle (AV) driving.

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