89 citations · 132 across the 7 of their papers we have counts for
7 papers · 1 filter
Towards 3D Object-Centric Feature Learning for Semantic Scene Completion
Weihua Wang, Yubo Cui, Xiangru Lin +2
Vision-based 3D Semantic Scene Completion (SSC) has received growing attention due to its potential in autonomous driving. While most existing approaches follow an ego-centric para…
4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation
Jiexi Zhong, Zhiheng Li, Yubo Cui +1
Semantic segmentation of LiDAR points has significant value for autonomous driving and mobile robot systems. Most approaches explore spatio-temporal information of multi-scan to id…
LOMA: Language-assisted Semantic Occupancy Network via Triplane Mamba
Yubo Cui, Zhiheng Li, Jiaqiang Wang +1
Vision-based 3D occupancy prediction has become a popular research task due to its versatility and affordability. Nowadays, conventional methods usually project the image-based vis…
Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking
Yubo Cui, Jiayao Shan, Zuoxu Gu +2
3D single object tracking is a key task in 3D computer vision. However, the sparsity of point clouds makes it difficult to compute the similarity and locate the object, posing big…
3D Object Tracking with Transformer
Yubo Cui, Zheng Fang, Jiayao Shan +2
Feature fusion and similarity computation are two core problems in 3D object tracking, especially for object tracking using sparse and disordered point clouds. Feature fusion could…
3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud
Zheng Fang, Sifan Zhou, Yubo Cui +1
3D single object tracking is a key issue for autonomous following robot, where the robot should robustly track and accurately localize the target for efficient following. In this p…