10 citations · 20 across the 25 of their papers we have counts for
11 papers · 1 filter
Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images
Xudong Cai, Yongcai Wang, Zhaoxin Fan +7
Photo-realistic scene reconstruction from sparse-view, uncalibrated images is highly required in practice. Although some successes have been made, existing methods are either Spars…
MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing
Shuo Wang, Wanting Li, Yongcai Wang +5
Deep visual odometry has demonstrated great advancements by learning-to-optimize technology. This approach heavily relies on the visual matching across frames. However, ambiguous m…
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis
Hongyu Sun, Qiuhong Ke, Yongcai Wang +4
This paper investigates the 3D domain generalization (3DDG) ability of large 3D models based on prevalent prompt learning. Recent works demonstrate the performances of 3D point clo…
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…
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…
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…
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…
RoCo:Robust Collaborative Perception By Iterative Object Matching and Pose Adjustment
Zhe Huang, Shuo Wang, Yongcai Wang +3
Collaborative autonomous driving with multiple vehicles usually requires the data fusion from multiple modalities. To ensure effective fusion, the data from each individual modalit…
DroneMOT: Drone-based Multi-Object Tracking Considering Detection Difficulties and Simultaneous Moving of Drones and Objects
Peng Wang, Yongcai Wang, Deying Li
Multi-object tracking (MOT) on static platforms, such as by surveillance cameras, has achieved significant progress, with various paradigms providing attractive performances. Howev…
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…
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…