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cs.CV2026

CERF: Communication-Efficient and Retraining-Free Collaborative Perception

Jiuwu Hao, Ziyi Ni, Liguo Sun +5

Collaborative perception shares information among multiple agents to obtain a comprehensive scene representation, enhancing the perceptual capability of individual agents. However,…

cs.CV2026

calibfusion: Transformer-Based Differentiable Calibration for Radar-Camera Fusion Detection in Water-Surface Environments

Yuting Wan, Liguo Sun, Jiuwu Hao +1

Millimeter-wave (mmWave) Radar--Camera fusion improves perception under adverse illumination and weather, but its performance is sensitive to Radar--Camera extrinsic calibration: r…

cs.CV2026

physfusion: A Transformer-based Dual-Stream Radar and Vision Fusion Framework for Open Water Surface Object Detection

Yuting Wan, Liguo Sun, Jiuwu Hao +2

Detecting water-surface targets for Unmanned Surface Vehicles (USVs) is challenging due to wave clutter, specular reflections, and weak appearance cues in long-range observations.…

cs.CV2025

Is Intermediate Fusion All You Need for UAV-based Collaborative Perception?

Jiuwu Hao, Liguo Sun, Yuting Wan +4

Collaborative perception enhances environmental awareness through inter-agent communication and is regarded as a promising solution to intelligent transportation systems. However,…

cs.CV2025

FeaKM: Robust Collaborative Perception under Noisy Pose Conditions

Jiuwu Hao, Liguo Sun, Ti Xiang +3

Collaborative perception is essential for networks of agents with limited sensing capabilities, enabling them to work together by exchanging information to achieve a robust and com…