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From the 1 of 17 linked papers with an AI index.

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20242026
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cs.CV2026

ViCo3D: Empowering LiDAR-based Collaborative 3D Object Detection with Vision Foundation Models

Haojie Ren, Songrui Luo, Lingfeng Wang +6

The paper introduces ViCo3D, a framework that leverages vision foundation models to enrich LiDAR bird's-eye-view features for collaborative 3D object detection in V2X scenarios, ac…

cs.CV2026

SemCityLoc: Aerial 6DoF Localization Using Semantic 3D City Models

Jingfeng Mao, Xuyang Chen, Qilin Zhang +6

Aerial 6DoF localization typically relies on precise GNSS signals or radiometrically rich 3D reconstructions, limiting scalability and on-board deployment. We propose SemCityLoc, a…

cs.CV2026

TRASE: Tracking-free 4D Segmentation and Editing

Yun-Jin Li, Mariia Gladkova, Yan Xia +1

Understanding dynamic 3D scenes is crucial for extended reality (XR) and autonomous driving. Incorporating semantic information into 3D reconstruction enables holistic scene repres…

cs.CV2025

Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language

Yan Xia, Letian Shi, Yilin Di +2

We tackle the problem of localizing 3D point cloud submaps using complex and diverse natural language descriptions, and present Text2Loc++, a novel neural network designed for effe…

cs.CV2025

OPAL: Visibility-aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion

Shuhao Kang, Martin Y. Liao, Yan Xia +3

LiDAR place recognition is a critical capability for autonomous navigation and cross-modal localization in large-scale outdoor environments. Existing approaches predominantly depen…

cs.CV2025

True Multimodal In-Context Learning Needs Attention to the Visual Context

Shuo Chen, Jianzhe Liu, Zhen Han +5

Multimodal Large Language Models (MLLMs), built on powerful language backbones, have enabled Multimodal In-Context Learning (MICL)-adapting to new tasks from a few multimodal demon…