5 citations · 20 across the 10 of their papers we have counts for
4 papers · 1 filter
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation
Yangheng Zhao, Jun Wang, Xiaolong Li +4
3D point cloud semantic segmentation is one of the fundamental tasks for 3D scene understanding and has been widely used in the metaverse applications. Many recent 3D semantic segm…
Learning Reconstructability for Drone Aerial Path Planning
Yilin Liu, Liqiang Lin, Yue Hu +4
We introduce the first learning-based reconstructability predictor to improve view and path planning for large-scale 3D urban scene acquisition using unmanned drones. In contrast t…
Aerial Monocular 3D Object Detection
Yue Hu, Shaoheng Fang, Weidi Xie +1
Drones equipped with cameras can significantly enhance human ability to perceive the world because of their remarkable maneuverability in 3D space. Ironically, object detection for…
Dir-MUSIC Algorithm for DOA Estimation of Partial Discharge Based on Signal Strength represented by Antenna Gain Array Manifold
Wencong Xu, Yandong Li, Bingshu Chen +3
Inspection robots are widely used in the field of smart grid monitoring in substations, and partial discharge (PD) is an important sign of the insulation state of equipments. PD di…