9 citations · 26 across the 13 of their papers we have counts for
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cs.CV2025
Open-world Point Cloud Semantic Segmentation: A Human-in-the-loop Framework
Peng Zhang, Songru Yang, Jinsheng Sun +2
Open-world point cloud semantic segmentation (OW-Seg) aims to predict point labels of both base and novel classes in real-world scenarios. However, existing methods rely on resourc…
cs.CV2025★ 2 cited
No-reference geometry quality assessment for colorless point clouds via list-wise rank learning
Zheng Li, Bingxu Xie, Chao Chu +2
Geometry quality assessment (GQA) of colorless point clouds is crucial for evaluating the performance of emerging point cloud-based solutions (e.g., watermarking, compression, and…
cs.CV2025★ 2 cited
The Worse The Better: Content-Aware Viewpoint Generation Network for Projection-related Point Cloud Quality Assessment
Zhiyong Su, Bingxu Xie, Zheng Li +2
Through experimental studies, however, we observed the instability of final predicted quality scores, which change significantly over different viewpoint settings. Inspired by the…