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20212025
most citedRethinking Early-Fusion Strategies for Improved Multispectral Object Detection

43 citations · 48 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…