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20232026
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cs.CV2026

PhyLatent: Learning Dynamics-Relevant Representations for JEPA World Models

Xi Zeng, Haojie Ren, Ziying Song +2

We propose PhyLatent, a dynamics-relevant training objective for Joint-Embedding Predictive Architecture (JEPA) world models. Our key observation is that preventing global latent c…

cs.CV2026

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

Haojie Ren, Songrui Luo, Lingfeng Wang +6

LiDAR-based collaborative 3D perception in Vehicle-to-Everything (V2X) systems typically relies on fusing bird's-eye-view (BEV) features across agents. However, current BEV represe…

cs.CV2025

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors

Xingchen Li, LiDian Wang, Yu Sheng +6

Protecting power transmission lines from potential hazards involves critical tasks, one of which is the accurate measurement of distances between power lines and potential threats,…

cs.CV2024

CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks

Beibei Wang, Zijian Yu, Lu Zhang +8

Numerous roadside perception datasets have been introduced to propel advancements in autonomous driving and intelligent transportation systems research and development. However, it…

cs.CV2023

EdgeCalib: Multi-Frame Weighted Edge Features for Automatic Targetless LiDAR-Camera Calibration

Xingchen Li, Yifan Duan, Beibei Wang +5

In multimodal perception systems, achieving precise extrinsic calibration between LiDAR and camera is of critical importance. Previous calibration methods often required specific t…