89 citations · 197 across the 15 of their papers we have counts for
15 papers
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…
CAO-RONet: A Robust 4D Radar Odometry with Exploring More Information from Low-Quality Points
Zhiheng Li, Yubo Cui, Ningyuan Huang +2
Recently, 4D millimetre-wave radar exhibits more stable perception ability than LiDAR and camera under adverse conditions (e.g. rain and fog). However, low-quality radar points hin…
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…
FlowTrack: Point-level Flow Network for 3D Single Object Tracking
Shuo Li, Yubo Cui, Zhiheng Li +1
3D single object tracking (SOT) is a crucial task in fields of mobile robotics and autonomous driving. Traditional motion-based approaches achieve target tracking by estimating the…
StreamMOS: Streaming Moving Object Segmentation with Multi-View Perception and Dual-Span Memory
Zhiheng Li, Yubo Cui, Jiexi Zhong +1
Moving object segmentation based on LiDAR is a crucial and challenging task for autonomous driving and mobile robotics. Most approaches explore spatio-temporal information from LiD…
SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking
Yu Lin, Zhiheng Li, Yubo Cui +1
3D single object tracking (SOT) is an important and challenging task for the autonomous driving and mobile robotics. Most existing methods perform tracking between two consecutive…
Motion-to-Matching: A Mixed Paradigm for 3D Single Object Tracking
Zhiheng Li, Yu Lin, Yubo Cui +2
3D single object tracking with LiDAR points is an important task in the computer vision field. Previous methods usually adopt the matching-based or motion-centric paradigms to esti…
STTracker: Spatio-Temporal Tracker for 3D Single Object Tracking
Yubo Cui, Zhiheng Li, Zheng Fang
3D single object tracking with point clouds is a critical task in 3D computer vision. Previous methods usually input the last two frames and use the predicted box to get the templa…
MMF-Track: Multi-modal Multi-level Fusion for 3D Single Object Tracking
Zhiheng Li, Yubo Cui, Yu Lin +1
3D single object tracking plays a crucial role in computer vision. Mainstream methods mainly rely on point clouds to achieve geometry matching between target template and search ar…
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…
Real-time 3D Single Object Tracking with Transformer
Jiayao Shan, Sifan Zhou, Yubo Cui +1
LiDAR-based 3D single object tracking is a challenging issue in robotics and autonomous driving. Currently, existing approaches usually suffer from the problem that objects at long…
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…
PTT: Point-Track-Transformer Module for 3D Single Object Tracking in Point Clouds
Jiayao Shan, Sifan Zhou, Zheng Fang +1
3D single object tracking is a key issue for robotics. In this paper, we propose a transformer module called Point-Track-Transformer (PTT) for point cloud-based 3D single object tr…