7 papers
GeoUniPR: A Geometry-Consistent Unified Framework for Cross-Modal Place Recognition
Wonbong Kim, Jiatong Xiao, Rui Li +5
Cross-modal place recognition (CMPR) aims to identify the same location across heterogeneous sensing modalities, such as vision and LiDAR. Existing methods commonly bridge the moda…
Frequency Decoupled Framework for Screen Content Image Super-Resolution
Xufei Wang, Qicheng Zhang, Qi Wu +2
Methods based on implicit neural representations have demonstrated superior performance in Screen Content Image Super-Resolution (SCISR) . However, they overlooked the inherent fre…
Learning from Mistakes: Loss-Aware Memory Enhanced Continual Learning for LiDAR Place Recognition
Xufei Wang, Junqiao Zhao, Siyue Tao +3
LiDAR place recognition plays a crucial role in SLAM, robot navigation, and autonomous driving. However, existing LiDAR place recognition methods often struggle to adapt to new env…
MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
Qiwen Gu, Xufei Wang, Junqiao Zhao +4
Visual Place Recognition (VPR) enables robust localization through image retrieval based on learned descriptors. However, drastic appearance variations of images at the same place…
Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution
Xufei Wang, Mingjian Zhang, Fei Ge +7
Even without auxiliary images, single hyperspectral image super-resolution (SHSR) methods can be designed to improve the spatial resolution of hyperspectral images. However, failin…
Ranking-aware Continual Learning for LiDAR Place Recognition
Xufei Wang, Gengxuan Tian, Junqiao Zhao +4
Place recognition plays a significant role in SLAM, robot navigation, and autonomous driving applications. Benefiting from deep learning, the performance of LiDAR place recognition…