4 citations · 4 across the 13 of their papers we have counts for
9 papers · 1 filter
Track2Art: Articulated Object Model Recovery with Visual-Geometric Track Representations
Xiaotong Li, Yixiong Jing, Junsheng Ding +4
Understanding articulated objects is fundamental for robotic interaction, requiring accurate rigid-part discovery and the recovery of their kinematic relations. Existing approaches…
R4Tun: LLM-guided adaptive segmental tunnel lining segmentation in point clouds
Xinghui Tao, Zehao Ye, Guangming Wang +2
Automated inspection of segmental tunnel linings requires adaptive segmentation from 3D point clouds, yet expert-tuned pipelines often degrade when tunnel conditions vary. This pap…
Image-Guided Pavement Defect Recognition in GPR Data with novel 3D Deep Learning Architecture
Yuandong Pan, Linjun Lu, Mudan Wang +6
Ground Penetrating Radar (GPR) is a widely adopted non-destructive sensing technology for subsurface inspection in civil and transportation engineering. Despite its potential for p…
BendTwin: Robust Dense-to-Sparse Physical Reconstruction with Bending-Aware Differentiable Spring-Mass Models
Yixiong Jing, Qi Wang, Lin Chen +6
Reconstructing objects with mechanical properties from video observations enables physically consistent dynamic prediction, benefiting robotics planning and interaction. Existing s…
UnderOneFacade: Worldwide Facade Semantic Segmentation Benchmark Dataset
Yi Wang, Fan Wang, Prabin Gyawali +9
Globally consistent semantic digital twins require centimeter-accurate and geographically transferable 3D facade segmentation. However, progress in facade parsing is limited by the…
SemCityLoc: Aerial 6DoF Localization Using Semantic 3D City Models
Jingfeng Mao, Xuyang Chen, Qilin Zhang +6
Aerial 6DoF localization typically relies on precise GNSS signals or radiometrically rich 3D reconstructions, limiting scalability and on-board deployment. We propose SemCityLoc, a…
NEXUS: Neural Energy Fields for Physically Consistent Contact-Rich 3D Object Dynamics
Qizhen Ying, Guangming Wang, Yangchen Pan +3
Physics-grounded video generation requires controllable 3D object dynamics that remain physically consistent under contact, deformation, and external forcing. Existing trajectory-b…
InfraDiffusion: zero-shot depth map restoration with diffusion models and prompted segmentation from sparse infrastructure point clouds
Yixiong Jing, Cheng Zhang, Haibing Wu +3
Point clouds are widely used for infrastructure monitoring by providing geometric information, where segmentation is required for downstream tasks such as defect detection. Existin…
A 3D Multimodal Feature for Infrastructure Anomaly Detection
Yixiong Jing, Wei Lin, Brian Sheil +1
Ageing structures require periodic inspections to identify structural defects. Previous work has used geometric distortions to locate cracks in synthetic masonry bridge point cloud…