101 citations · 116 across the 9 of their papers we have counts for
9 papers
Hyperbolic Binary Neural Network
Jun Chen, Jingyang Xiang, Tianxin Huang +2
Binary Neural Network (BNN) converts full-precision weights and activations into their extreme 1-bit counterparts, making it particularly suitable for deployment on lightweight mob…
Learnable Chamfer Distance for Point Cloud Reconstruction
Tianxin Huang, Qingyao Liu, Xiangrui Zhao +2
As point clouds are 3D signals with permutation invariance, most existing works train their reconstruction networks by measuring shape differences with the average point-to-point d…
A Coarse-to-Fine Place Recognition Approach using Attention-guided Descriptors and Overlap Estimation
Chencan Fu, Lin Li, Jianbiao Mei +4
Place recognition is a challenging but crucial task in robotics. Current description-based methods may be limited by representation capabilities, while pairwise similarity-based me…
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud
Xiangrui Zhao, Sheng Yang, Tianxin Huang +4
Poles and building edges are frequently observable objects on urban roads, conveying reliable hints for various computer vision tasks. To repetitively extract them as features and…
Dynamically Stable Poincaré Embeddings for Neural Manifolds
Jun Chen, Yuang Liu, Xiangrui Zhao +2
In a Riemannian manifold, the Ricci flow is a partial differential equation for evolving the metric to become more regular. We hope that topological structures from such metrics ma…
SSC: Semantic Scan Context for Large-Scale Place Recognition
Lin Li, Xin Kong, Xiangrui Zhao +2
Place recognition gives a SLAM system the ability to correct cumulative errors. Unlike images that contain rich texture features, point clouds are almost pure geometric information…
SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure
Lin Li, Xin Kong, Xiangrui Zhao +4
LiDAR-based SLAM system is admittedly more accurate and stable than others, while its loop closure detection is still an open issue. With the development of 3D semantic segmentatio…
CL-MAPF: Multi-Agent Path Finding for Car-Like Robots with Kinematic and Spatiotemporal Constraints
Licheng Wen, Zhen Zhang, Zhe Chen +2
Multi-Agent Path Finding has been widely studied in the past few years due to its broad application in the field of robotics and AI. However, previous solvers rely on several simpl…
Semantic Graph Based Place Recognition for 3D Point Clouds
Xin Kong, Xuemeng Yang, Guangyao Zhai +6
Due to the difficulty in generating the effective descriptors which are robust to occlusion and viewpoint changes, place recognition for 3D point cloud remains an open issue. Unlik…