2 citations · 3 across the 7 of their papers we have counts for
9 papers
RoadOcc Learns When to Persist, Transport, or Refresh Memory for Roadside Occupancy Prediction
Xiaokai Bai, Lei Yang, Songkai Wang +3
Fixed roadside cameras repeatedly observe a stable scene overlaid by sparse moving traffic. Temporal memory can recover weak observations, but reusing moving evidence at stale loca…
SGDet3D++: Geometry-Grounded Semantics for 4D Radar and Camera 3D Object Detection
Xiaokai Bai, Zhenyu Fan, Lianqing Zheng +3
4D radar complements dense image semantics with long-range geometry and radial motion, but existing radar--camera detectors largely solve \emph{where} to align the modalities while…
4DR360: State Reasoning for Joint 3D Detection and Occupancy Prediction in 4D Radar-Camera Full-Scene Perception
Xiaokai Bai, Lianqing Zheng, Runwei Guan +3
Reliable autonomous driving requires full-scene perception that couples foreground objects with dense semantic layout. Recently, 4D millimeter-wave radar has emerged as a robust an…
RC-GeoCP: Geometric Consensus for 4D Radar-Camera Collaborative Perception
Xiaokai Bai, Lianqing Zheng, Runwei Guan +3
Collaborative perception (CP) extends sensing range through feature sharing, but most systems remain LiDAR-centric. Camera and 4D radar sensing combines dense semantics with lower-…
S-BEVLoc: BEV-based Self-supervised Framework for Large-scale LiDAR Global Localization
Chenghao Zhang, Lun Luo, Si-Yuan Cao +6
LiDAR-based global localization is an essential component of simultaneous localization and mapping (SLAM), which helps loop closure and re-localization. Current approaches rely on…
Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction
Runmin Zhang, Zhu Yu, Si-Yuan Cao +4
This work presents SGCDet, a novel multi-view indoor 3D object detection framework based on adaptive 3D volume construction. Unlike previous approaches that restrict the receptive…
Decoupled Geometric Parameterization and its Application in Deep Homography Estimation
Yao Huang, Si-Yuan Cao, Yaqing Ding +8
Planar homography, with eight degrees of freedom (DOFs), is fundamental in numerous computer vision tasks. While the positional offsets of four corners are widely adopted (especial…
BEVPlace++: Fast, Robust, and Lightweight LiDAR Global Localization for Unmanned Ground Vehicles
Lun Luo, Si-Yuan Cao, Xiaorui Li +4
This article introduces BEVPlace++, a novel, fast, and robust LiDAR global localization method for unmanned ground vehicles. It uses lightweight convolutional neural networks (CNNs…
Context and Geometry Aware Voxel Transformer for Semantic Scene Completion
Zhu Yu, Runmin Zhang, Jiacheng Ying +5
Vision-based Semantic Scene Completion (SSC) has gained much attention due to its widespread applications in various 3D perception tasks. Existing sparse-to-dense approaches typica…