Fangming Yuan — accepted AI-conference papers

2024

Local Positional Graphs and Attentive Local Features for a Data and Runtime-Efficient Hierarchical Place Recognition Pipeline

Fangming Yuan, Stefan Schubert, Peter Protzel, Peer Neubert

RA-L 2024

Large-scale applications of Visual Place Recognition (VPR) require computationally efficient approaches. Further, a well-balanced combination of data-based and training-free approaches can decrease the required amount of training data and effort and can reduce the influence of distribution shifts be

Cited by 2 Source ↗Scholar ↗

2021

SoftMP: Attentive feature pooling for joint local feature detection and description for place recognition in changing environments

Fangming Yuan, Peer Neubert, Stefan Schubert, Peter Protzel

ICRA 2021poster

Visual place recognition is the task of finding matchings of images that show the same place in the world. Combinations of appearance changes (e.g. changing illumination or weather) and geometric changes (e.g. viewpoint changes or occlusions) challenge existing approaches. Learning-based local image…

Cited by 10 Source ↗Scholar ↗