8 papers
RaGS: Unleashing 3D Gaussian Splatting from 4D Radar and Monocular Cues for 3D Object Detection
Xiaokai Bai, Chenxu Zhou, Lianqing Zheng +6
4D millimeter-wave radar is a promising sensing modality for autonomous driving, yet effective 3D object detection from 4D radar and monocular images remains challenging. Existing…
Rethinking Unsupervised Cross-modal Flow Estimation: Learning from Decoupled Optimization and Consistency Constraint
Runmin Zhang, Jialiang Wang, Si-Yuan Cao +4
This work presents DCFlow, a novel unsupervised cross-modal flow estimation framework that integrates a decoupled optimization strategy and a cross-modal consistency constraint. Un…
Recurrent Cross-View Object Geo-Localization
Xiaohan Zhang, Si-Yuan Cao, Xiaokai Bai +7
Cross-view object geo-localization (CVOGL) aims to determine the location of a specific object in high-resolution satellite imagery given a query image with a point prompt. Existin…
EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration
Haokai Zhu, Bo Qu, Si-Yuan Cao +4
Previous deep image registration methods that employ single homography, multi-grid homography, or thin-plate spline often struggle with real scenes containing depth disparities due…
Language Driven Occupancy Prediction
Zhu Yu, Bowen Pang, Lizhe Liu +7
We introduce LOcc, an effective and generalizable framework for open-vocabulary occupancy (OVO) prediction. Previous approaches typically supervise the networks through coarse voxe…
Structure-Aware Radar-Camera Depth Estimation
Fuyi Zhang, Zhu Yu, Chunhao Li +6
Radar has gained much attention in autonomous driving due to its accessibility and robustness. However, its standalone application for depth perception is constrained by issues of…