3 citations · 9 across the 13 of their papers we have counts for
11 papers · 1 filter
Cross3DReg: Towards a Large-scale Real-world Cross-source Point Cloud Registration Benchmark
Zongyi Xu, Zhongpeng Lang, Yilong Chen +6
Cross-source point cloud registration, which aims to align point cloud data from different sensors, is a fundamental task in 3D vision. However, compared to the same-source point c…
CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction
Zhiwei Ning, Zhaojiang Liu, Xuanang Gao +4
Multi-modal methods based on camera and LiDAR sensors have garnered significant attention in the field of 3D detection. However, many prevalent works focus on single or partial sta…
PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling
Abiao Li, Chenlei Lv, Yuming Fang +3
Most masked point cloud modeling (MPM) methods follow a regression paradigm to reconstruct the coordinate or feature of masked regions. However, they tend to over-constrain the mod…
Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation
Junjie Chen, Weilong Chen, Yifan Zuo +1
Category-agnostic pose estimation aims to locate keypoints on query images according to a few annotated support images for arbitrary novel classes. Existing methods generally extra…
Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment
Jiebin Yan, Ziwen Tan, Jiale Rao +3
Blind panoramic image quality assessment (BPIQA) has recently brought new challenge to the visual quality community, due to the complex interaction between immersive content and hu…
PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration
Xiaoshui Huang, Zhou Huang, Yifan Zuo +4
The discriminative feature is crucial for point cloud registration. Recent methods improve the feature discriminative by distinguishing between non-overlapping and overlapping regi…
GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation
Abiao Li, Chenlei Lv, Guofeng Mei +3
Learning meaningful local and global information remains a challenge in point cloud segmentation tasks. When utilizing local information, prior studies indiscriminately aggregates…
EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
Xiaoshui Huang, Zhou Huang, Sheng Li +5
The pretrain-finetune paradigm has achieved great success in NLP and 2D image fields because of the high-quality representation ability and transferability of their pretrained mode…
GMF: General Multimodal Fusion Framework for Correspondence Outlier Rejection
Xiaoshui Huang, Wentao Qu, Yifan Zuo +2
Rejecting correspondence outliers enables to boost the correspondence quality, which is a critical step in achieving high point cloud registration accuracy. The current state-of-th…
GenReg: Deep Generative Method for Fast Point Cloud Registration
Xiaoshui Huang, Zongyi Xu, Guofeng Mei +4
Accurate and efficient point cloud registration is a challenge because the noise and a large number of points impact the correspondence search. This challenge is still a remaining…
IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration
Xiaoshui Huang, Wentao Qu, Yifan Zuo +2
The existing state-of-the-art point descriptor relies on structure information only, which omit the texture information. However, texture information is crucial for our humans to d…