11 citations · 26 across the 10 of their papers we have counts for
10 papers · 1 filter
IGASA: Integrated Geometry-Aware and Skip-Attention Modules for Enhanced Point Cloud Registration
Dongxu Zhang, Jihua Zhu, Shiqi Li +4
Point cloud registration (PCR) is a fundamental task in 3D vision and provides essential support for applications such as autonomous driving, robotics, and environmental modeling.…
SlimComm: Doppler-Guided Sparse Queries for Bandwidth-Efficient Cooperative 3-D Perception
Melih Yazgan, Qiyuan Wu, Iramm Hamdard +2
Collaborative perception allows connected autonomous vehicles (CAVs) to overcome occlusion and limited sensor range by sharing intermediate features. Yet transmitting dense Bird's-…
Matching Distance and Geometric Distribution Aided Learning Multiview Point Cloud Registration
Shiqi Li, Jihua Zhu, Yifan Xie +2
Multiview point cloud registration plays a crucial role in robotics, automation, and computer vision fields. This paper concentrates on pose graph construction and motion synchroni…
3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning
Naiwen Hu, Haozhe Cheng, Yifan Xie +2
Invariance-based and generative methods have shown a conspicuous performance for 3D self-supervised representation learning (SSRL). However, the former relies on hand-crafted data…
Multiple Rotation Averaging with Constrained Reweighting Deep Matrix Factorization
Shiqi Li, Jihua Zhu, Yifan Xie +4
Multiple rotation averaging plays a crucial role in computer vision and robotics domains. The conventional optimization-based methods optimize a nonlinear cost function based on ce…
Incremental Multiview Point Cloud Registration with Two-stage Candidate Retrieval
Shiqi Li, Jihua Zhu, Yifan Xie +1
Multiview point cloud registration serves as a cornerstone of various computer vision tasks. Previous approaches typically adhere to a global paradigm, where a pose graph is initia…
Iterative Feedback Network for Unsupervised Point Cloud Registration
Yifan Xie, Boyu Wang, Shiqi Li +1
As a fundamental problem in computer vision, point cloud registration aims to seek the optimal transformation for aligning a pair of point clouds. In most existing methods, the inf…
Cross-Modal Information-Guided Network using Contrastive Learning for Point Cloud Registration
Yifan Xie, Jihua Zhu, Shiqi Li +1
The majority of point cloud registration methods currently rely on extracting features from points. However, these methods are limited by their dependence on information obtained f…
DBDNet:Partial-to-Partial Point Cloud Registration with Dual Branches Decoupling
Shiqi Li, Jihua Zhu, Yifan Xie
Point cloud registration plays a crucial role in various computer vision tasks, and usually demands the resolution of partial overlap registration in practice. Most existing method…
Lightweight Human Pose Estimation Using Heatmap-Weighting Loss
Shiqi Li, Xiang Xiang
Recent research on human pose estimation exploits complex structures to improve performance on benchmark datasets, ignoring the resource overhead and inference speed when the model…