most citedPRISM: PRogressive dependency maxImization for Scale-invariant image Matching

3 citations · 5 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2024

VSFormer: Mining Correlations in Flexible View Set for Multi-view 3D Shape Understanding

Hongyu Sun, Yongcai Wang, Peng Wang +3

View-based methods have demonstrated promising performance in 3D shape understanding. However, they tend to make strong assumptions about the relations between views or learn the m…

cs.DS20241 cited

An Efficient and Exact Algorithm for Locally h-Clique Densest Subgraph Discovery

Xiaojia Xu, Haoyu Liu, Xiaowei Lv +2

Detecting locally, non-overlapping, near-clique densest subgraphs is a crucial problem for community search in social networks. As a vertex may be involved in multiple overlapped l…

cs.CV2024

GSLAMOT: A Tracklet and Query Graph-based Simultaneous Locating, Mapping, and Multiple Object Tracking System

Shuo Wang, Yongcai Wang, Zhimin Xu +5

For interacting with mobile objects in unfamiliar environments, simultaneously locating, mapping, and tracking the 3D poses of multiple objects are crucially required. This paper p…

cs.CV20243 cited

PRISM: PRogressive dependency maxImization for Scale-invariant image Matching

Xudong Cai, Yongcai Wang, Lun Luo +5

Image matching aims at identifying corresponding points between a pair of images. Currently, detector-free methods have shown impressive performance in challenging scenarios, thank…

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…