activity
20222025
most citedTightly Coupled Learning Strategy for Weakly Supervised Hierarchical Place Recognition

11 citations · 18 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

StructVPR++: Distill Structural and Semantic Knowledge with Weighting Samples for Visual Place Recognition

Yanqing Shen, Sanping Zhou, Jingwen Fu +3

Visual place recognition is a challenging task for autonomous driving and robotics, which is usually considered as an image retrieval problem. A commonly used two-stage strategy in…

cs.CV2025

ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density Images

Yanqing Shen, Turcan Tuna, Marco Hutter +2

Place recognition is essential to maintain global consistency in large-scale localization systems. While research in urban environments has progressed significantly using LiDARs or…

cs.RO2023

InteractionNet: Joint Planning and Prediction for Autonomous Driving with Transformers

Jiawei Fu, Yanqing Shen, Zhiqiang Jian +3

Planning and prediction are two important modules of autonomous driving and have experienced tremendous advancement recently. Nevertheless, most existing methods regard planning an…

cs.CV2023★ 1 cited

MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection

Zewei Lin, Yanqing Shen, Sanping Zhou +2

In this paper, we propose a novel and effective Multi-Level Fusion network, named as MLF-DET, for high-performance cross-modal 3D object DETection, which integrates both the featur…

cs.CV2022★ 1 cited

StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition

Yanqing Shen, Sanping Zhou, Jingwen Fu +3

Visual place recognition (VPR) is usually considered as a specific image retrieval problem. Limited by existing training frameworks, most deep learning-based works cannot extract s…

cs.CV2022★ 11 cited

Tightly Coupled Learning Strategy for Weakly Supervised Hierarchical Place Recognition

Y. Shen, R. Wang, W. Zuo +1

Visual place recognition (VPR) is a key issue for robotics and autonomous systems. For the trade-off between time and performance, most of methods use the coarse-to-fine hierarchic…

cs.CV2022★ 5 cited

TransVPR: Transformer-based place recognition with multi-level attention aggregation

Ruotong Wang, Yanqing Shen, Weiliang Zuo +2

Visual place recognition is a challenging task for applications such as autonomous driving navigation and mobile robot localization. Distracting elements presenting in complex scen…