2 citations · 4 across the 3 of their papers we have counts for
4 papers
Advancing the Understanding of Fine-Grained 3D Forest Structures using Digital Cousins and Simulation-to-Reality: Methods and Datasets
Jing Liu, Duanchu Wang, Haoran Gong +3
Understanding and analyzing the spatial semantics and structure of forests is essential for accurate forest resource monitoring and ecosystem research. However, the lack of large-s…
CompetitorFormer: Competitor Transformer for 3D Instance Segmentation
Duanchu Wang, Jing Liu, Haoran Gong +2
Transformer-based methods have become the dominant approach for 3D instance segmentation. These methods predict instance masks via instance queries, ranking them by classification…
Efficiently Expanding Receptive Fields: Local Split Attention and Parallel Aggregation for Enhanced Large-scale Point Cloud Semantic Segmentation
Haodong Wang, Chongyu Wang, Yinghui Quan +1
Expanding the receptive field in a deep learning model for large-scale 3D point cloud segmentation is an effective technique for capturing rich contextual information, which conseq…
Multilateral Cascading Network for Semantic Segmentation of Large-Scale Outdoor Point Clouds
Haoran Gong, Haodong Wang, Di Wang
Semantic segmentation of large-scale outdoor point clouds is of significant importance in environment perception and scene understanding. However, this task continues to present a…