X Lai, Y Chen, F Lu, J Liu, J Jia - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
LiDAR-based 3D point cloud recognition has benefited various applications. Without specially considering the LiDAR point distribution, most current methods suffer from …
J Zhang, R Dong, K Ma - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Training a 3D scene understanding model requires complicated human annotations, which are laborious to collect and result in a model only encoding close-set object semantics. In …
Z Zhang, B Yang, B Wang, B Li - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
We study the problem of 3D semantic segmentation from raw point clouds. Unlike existing methods which primarily rely on a large amount of human annotations for training neural …
R Zhang, Y Wu, W Jin, X Meng - Electronics, 2023 - mdpi.com
With the rapid development of sensor technologies and the widespread use of laser scanning equipment, point clouds, as the main data form and an important information …
D Robert, H Raguet, L Landrieu - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
We introduce a novel superpoint-based transformer architecture for efficient semantic segmentation of large-scale 3D scenes. Our method incorporates a fast algorithm to partition …
P Xiang, X Wen, YS Liu, H Zhang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Learning per-point semantic features from the hierarchical feature pyramid is essential for point cloud semantic segmentation. However, most previous methods suffered from …
Abstract We present a Multimodal Interlaced Transformer (MIT) that jointly considers 2D and 3D data for weakly supervised point cloud segmentation. Research studies have shown that …
Y Lei, Z Wang, F Chen, G Wang, P Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Multi-modal 3D scene understanding has gained considerable attention due to its wide applications in many areas, such as autonomous driving and human-computer interaction …
M Yan, J Zhang, Y Zhu, H Wang - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Open-vocabulary 3D instance segmentation is cutting-edge for its ability to segment 3D instances without predefined categories. However progress in 3D lags behind its 2D …