3 papers
eess.IV2026
DALD-PCAC: Density-Adaptive Learning Descriptor for Point Cloud Lossless Attribute Compression
Chunyang Fu, Ge Li, Wei Gao +3
Recently, deep learning has significantly advanced the performance of point cloud geometry compression. However, the learning-based lossless attribute compression of point clouds w…
cs.CV2024
Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations
Zhiyi Pan, Nan Zhang, Wei Gao +2
Utilizing uniformly distributed sparse annotations, weakly supervised learning alleviates the heavy reliance on fine-grained annotations in point cloud semantic segmentation tasks.…
cs.CV2024
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
Zhiyi Pan, Wei Gao, Shan Liu +1
Despite alleviating the dependence on dense annotations inherent to fully supervised methods, weakly supervised point cloud semantic segmentation suffers from inadequate supervisio…