activity
20132024
most citedHybrid Radio-map for Noise Tolerant Wireless Indoor Localization

6 citations · 15 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2024

VOLoc: Visual Place Recognition by Querying Compressed Lidar Map

Xudong Cai, Yongcai Wang, Zhe Huang +2

The availability of city-scale Lidar maps enables the potential of city-scale place recognition using mobile cameras. However, the city-scale Lidar maps generally need to be compre…

cs.CV2024

Parameter-efficient Prompt Learning for 3D Point Cloud Understanding

Hongyu Sun, Yongcai Wang, Wang Chen +2

This paper presents a parameter-efficient prompt tuning method, named PPT, to adapt a large multi-modal model for 3D point cloud understanding. Existing strategies are quite expens…

cs.CV2023★ 1 cited

ViewFormer: View Set Attention for Multi-view 3D Shape Understanding

Hongyu Sun, Yongcai Wang, Peng Wang +2

This paper presents ViewFormer, a simple yet effective model for multi-view 3d shape recognition and retrieval. We systematically investigate the existing methods for aggregating m…

cs.CV2023

AirBirds: A Large-scale Challenging Dataset for Bird Strike Prevention in Real-world Airports

Hongyu Sun, Yongcai Wang, Xudong Cai +5

One fundamental limitation to the research of bird strike prevention is the lack of a large-scale dataset taken directly from real-world airports. Existing relevant datasets are ei…

cs.CV2023★ 1 cited

IDLS: Inverse Depth Line based Visual-Inertial SLAM

Wanting Li, Shuo Wang, Yongcai Wang +3

For robust visual-inertial SLAM in perceptually-challenging indoor environments,recent studies exploit line features to extract descriptive information about scene structure to dea…

cs.CV2023

ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding

Hongyu Sun, Yongcai Wang, Xudong Cai +2

Recently, a growing number of work design unsupervised paradigms for point cloud processing to alleviate the limitation of expensive manual annotation and poor transferability of s…