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20242026
most citedTactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026★ 1 cited

Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms

Zhixiang Cao, Di Tian, Runwei Guan +11

Tactile sensing is a fundamental modality for embodied intelligence, offering unique and direct feedback on contact geometry, material properties, and interaction dynamics that rem…

cs.CV2026

AFFormer: Adaptive Feature Fusion Transformer for V2X Cooperative Perception under Channel Impairments

Xi Zhou, Tao Huang, Qing-Long Han +2

Accurate 3D object detection is essential for ensuring the safety of autonomous vehicles. Cooperative perception, which leverages vehicle-to-everything (V2X) communication to share…

cs.RO2025

AerialMind: Towards Referring Multi-Object Tracking in UAV Scenarios

Chenglizhao Chen, Shaofeng Liang, Runwei Guan +6

Referring Multi-Object Tracking (RMOT) aims to achieve precise object detection and tracking through natural language instructions, representing a fundamental capability for intell…

cs.CV2025

MS-Occ: Multi-Stage LiDAR-Camera Fusion for 3D Semantic Occupancy Prediction

Zhiqiang Wei, Lianqing Zheng, Jianan Liu +4

Accurate 3D semantic occupancy perception is essential for autonomous driving in complex environments with diverse and irregular objects. While vision-centric methods suffer from g…

cs.CV2024

On the Federated Learning Framework for Cooperative Perception

Zhenrong Zhang, Jianan Liu, Xi Zhou +4

Cooperative perception is essential to enhance the efficiency and safety of future transportation systems, requiring extensive data sharing among vehicles on the road, which raises…