187 citations · 222 across the 22 of their papers we have counts for
7 papers · 1 filter
ZeroReg: Zero-Shot Point Cloud Registration with Foundation Models
Weijie Wang, Wenqi Ren, Guofeng Mei +5
State-of-the-art 3D point cloud registration methods rely on labeled 3D datasets for training, which limits their practical applications in real-world scenarios and often hinders g…
Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding
Guofeng Mei, Luigi Riz, Yiming Wang +1
Zero-shot 3D point cloud understanding can be achieved via 2D Vision-Language Models (VLMs). Existing strategies directly map Vision-Language Models from 2D pixels of rendered or c…
Point Cloud Pre-training with Diffusion Models
Xiao Zheng, Xiaoshui Huang, Guofeng Mei +5
Pre-training a model and then fine-tuning it on downstream tasks has demonstrated significant success in the 2D image and NLP domains. However, due to the unordered and non-uniform…
Attentive Multimodal Fusion for Optical and Scene Flow
Youjie Zhou, Guofeng Mei, Yiming Wang +2
This paper presents an investigation into the estimation of optical and scene flow using RGBD information in scenarios where the RGB modality is affected by noise or captured in da…
Cross-source Point Cloud Registration: Challenges, Progress and Prospects
Xiaoshui Huang, Guofeng Mei, Jian Zhang
The emerging topic of cross-source point cloud (CSPC) registration has attracted increasing attention with the fast development background of 3D sensor technologies. Different from…
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
Guofeng Mei, Hao Tang, Xiaoshui Huang +5
Deep point cloud registration methods face challenges to partial overlaps and rely on labeled data. To address these issues, we propose UDPReg, an unsupervised deep probabilistic r…
Graph Matching Optimization Network for Point Cloud Registration
Qianliang Wu, Yaqi Shen, Haobo Jiang +5
Point Cloud Registration is a fundamental and challenging problem in 3D computer vision. Recent works often utilize the geometric structure information in point feature embedding o…